Analytics Insight Presents the list of Top Free Online Courses in Statistics and Data Analysis

Would you like to understand data science statistics without undergoing a time-consuming and pricey class? There’s great news! Using solely free online resources, you may understand basic topics such as probability, Bayesian thinking, and statistical deep learning.

This article will show you the statistical thinking skills you’ll need for data science along with the top free online courses for Statistics and Data Analysis. It will give you a tremendous leg up on other budding data scientists who are attempting to get by without it. After all, after you’ve understood how to programme, it can be appealing to jump right into using machine learning programmes. It’s fine if you want to start with real-world projects at first. However, you should never, ever disregard statistics and probability concepts. It’s necessary if you want to advance as a data scientist.

Statistics Needed for Data Science

Statistics is a vast field with several applications in a variety of fields. The science of the collection, analysis, interpretation, presentation and organising of data is statistics, according to Encyclopaedia. As a result, it should come as no shock that data scientists require statistical knowledge.

Data analysis, for particular, necessitates at the very least descriptive statistics and probability theory. These ideas will assist you in making better company decisions based on data. Probability distributions, statistical significance, hypothesis testing, and regression are all important issues.

Artificial learning also necessitates knowledge of Bayesian thinking. The act of upgrading beliefs when new evidence is gathered is known as Bayesian thinking, and it’s at the heart of many machine learning frameworks. Conditional probability, priors and posteriors, and maximum probability are all important topics. Wouldn’t fret if those terms seem like jargon to you. When you get your hands grimy and actually learn, everything will sound familiar.

How to Learn Statistics for Data Science?

You’ve surely observed that “the self-starter route to learning X” frequently includes skipping classroom instruction in favour of “doing stuff.”

It’s no different when it comes to mastering statistics for data science.

In fact, we’ll be tackling important statistical ideas by programming them with coding! This will be a lot of fun, we promise. If you don’t have a formal math background, you’ll find that this method is far more natural than having a hard time figuring out difficult equations. It works by stimulating through each calculation’s logical phases. If you have a strong math background, this method will assist you in putting theory into practice while also providing some enjoyable programming difficulties.

You’ll be prepared to undertake harder machine learning issues and popular real-world data science applications after finishing these three levels. The three steps to studying the statistics and probability needed for data science are as follows:

Step 1: Core Statistics Concepts

It’s a good idea to start learning statistics for data science by examining how it will be applied.

Now let us look at some real-world studies or implementations that you might encounter as a data scientist:

1. Experimental design: Your firm is launching a new line of products, but it will only be available in brick-and-mortar locations. You’ll need to create an A/B test that accounts for geographic variances. You’ll also have to figure out just how many outlets you’ll need to test in order to get statistically relevant findings.

2. Regression modelling: Your enterprise needs to be able to forecast consumption for certain product lines in its outlets more accurately. Both understocking and overstocking are costly. You’re thinking of creating a set of regularized regression models.

3. Data transformation: You’re evaluating a number of machine learning model options. Several of them include assumptions about input data probability distributions, and you must be able to spot them so that you can either convert the data correctly or determine when the presumptions may be eased.

Step 2: Bayesian Thinking

The disagreement between Bayesians and frequentists is one of the philosophical arguments in statistics. While mastering statistics for data science, the Bayesian side is more important.

Frequentists, in an essence, solely employ probability to model sampling processes. This means that they only allocate probability to data that they’ve already gathered.

Step 3: Intro to Statistical Machine Learning

After you’ve grasped essential principles and Bayesian thinking, there’s no better way to learn statistics for data science than by experimenting with statistical machine learning models.

The sciences of statistics and machine learning are inextricably intertwined, and “statistical” machine learning is the predominant method of current machine learning.

In this stage, you’ll create a few machine learning models from the ground up. This will assist you in gaining a genuine knowledge of their dynamics.

Top Free Courses

1. Coursera (Duke University): Statistics with R Specialisation

• Time Period: 10 weeks
• Background knowledge: No prior programming expertise is necessary; just simple mathematics skills are required.

2.  Udacity (Stanford University): Intro to Statistics

• Time Period: 8 weeks
• Background knowledge: No prior experience is necessary; an introductory course is required

3.  Stanford University: Statistical Learning

• Time Period: 10 weeks
• Background knowledge: A basic understanding of statistics, linear algebra and computing are necessary.

4. Leada: Introduction to R

• Time Period: Self-Paced
• Background knowledge: No prior experience is necessary; an introductory course is required

5. Udacity (San Jose State University): Statistics: The Science of Decisions

• Time Period: Self-Paced; approximately 4 months
• Background knowledge: Basic proportions (fractions, decimals, and percentages), negative values, fundamental algebra (solving equations), and exponential and square roots.

6. Saylor: Introduction to Probability Theory

• Time Period: Self-Paced
• Background knowledge: Topics in single-variable and multivariate calculus, numerical analysis, and differential equations, or equivalents, must be completed.

7. EDX (Columbia University): Statistical Thinking for Data Science and Analytics

• Time Period: 5 weeks
• Background knowledge: No prior experience is necessary; an introductory course is required

8. EDX (University of Texas): Statistics Using R

• Time Period: 6 weeks
• Background knowledge: No prior experience is necessary; an introductory course is required

9. Caltech: Learning from Data

• Time Period: Self-Paced
• Background knowledge: No prior experience is necessary; an introductory course is required

Conclusion

We hope that we were able to provide you with the best free courses for Statistics and Data Analysis. They are ranked from 1 to 9 with short details which will help you pick your courses according to your convenience. So, hurry up and get yourself a course now!

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Artificial intelligence is considered to be one of the most disruptive and successful technologies that exists today. Its potential to continuously evolve and enable innovations is now being leveraged by a spectrum of industries across the globe.

Keeping in mind the significance of AI and its accelerated adoption, there has been a growing demand for AI talents in the companies these days. Observing the increasing demand of AI skills, both employees and the students are on a lookout to pursue Artificial Intelligence as a course and thus add stars to their portfolio.

Owing to this, many institutes are offering some of the best artificial intelligence courses and to make your choice a little simpler, here are five institutes wherein indian students can look for courses on Artificial Intelligence. If you are aspiring to carve a career path out of AI, you may definitely want to consider these courses:

Henry Harvin: The Artificial Intelligence course offered by ed-tech company – Henry Harvin takes you through various modules of AI, thereby accelerating one’s career. The course explains in detail the meaning, purpose, scope, applications and impacts of Artificial Intelligence. It allows you to comprehend AI & ML theories and understand the ML workflow along with the effective execution of strategies.

This 32-hour training session acquaints the pursuant with the best skills and knowledge transferred by professionals and helps you bag your dream job with an AI background.

Intellipaat: The PG Certification course in Artificial Intelligence and Machine Learning offered by Intellipaat is designed to upskill and make you an expert in the popular IT domain. Top faculty from MNIT and industry experts will assist you in mastering the skills required to excel in Artificial Intelligence, deep learning, neural networking, and other concepts in this domain. This course was created in collaboration with IBM and Microsoft in order to provide relevant industry experience.

In order to provide relevant industry experience, this course was developed in collaboration with IBM and Microsoft and spans over a period of 12 months.

Great Learning: This comprehensive course on ‘Artificial Intelligence’ covers the basics of neural network-based models. The course offers a conceptual understanding of learning mechanisms such as Need and history of neural networks, gradient, forward propagation, loss functions and its implementation using python libraries. This 12-month course intends to empower the learners with everything they need to succeed in their careers including the skills much needed for the future oriented professionals.

Edureka: Edureka in collaboration with one of the best NITs in India – NIT Warangal has introduced a diploma in Machine Learning and Artificial Intelligence. These Machine Learning and AI Certification Courses will nurture and transform you into a highly skilled professional thus helping you land a high-paying AI-ML job. This course gives you an opportunity to get hands-on exposure to industry-level assignments and projects with top-notch theories and insights.

Spread over a period of 450+ hours of intensive learning, the course is thoughtfully designed by NITW faculty.

Upgrad: Executive PG Programme in Machine Learning and AI, which is categorically designed for working professionals, is a 450+ hours of learning session that imparts in-demand skills along with the opportunity to work on industry projects. Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions forms the USP of the course. TNS

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These Big Data Courses will Help you get High Paying Jobs.

Big data, is a valuable technology for industries all across the globe. Tech giants like eBay, NASA, Amazon, Google, and Facebook use big data to make better business decisions and get a sense of all the available data. If you are a tech enthusiast who wants to get a high-paying career in the tech world, big data is a lucrative field.

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If you’re a beginner, here are the best big data courses for you to get started.

1. Big Data Analytics

Duration: 10 weeks

This course will teach you essential skills in today’s digital age to store, process, and analyze data to inform business decisions. This course will cover topics ranging from cloud-based big data analysis, predictive analytics including probabilistic and statistical models, application of large-scale data analysis, and analysis of problem space and data needs. By the end of this course, you will be able to approach large-scale data science problems with creativity and initiative.

2. Big Data and Hadoop

Through this course, you will understand the complex architecture of Hadoop and its components. It covers everything that you need as a Big Data Beginner, such as the Big Data market, different job roles, technology trends, history of Hadoop, HDFS, Hadoop Ecosystem, Hive, and Pig. This course also comes with a lot of hands-on examples that will help you learn Hadoop quickly.

3. Introduction to Big Data

This course is for tech enthusiasts who want to learn data science and are interested in understanding why the Big Data Era has become prominent. Through this course, you will learn about big data landscapes and real-world big data problems, important aspects of big data like volume, velocity, valence, value, and how they impact data collection, monitoring, storage, analysis, and reporting. This beginner needs no prior programming experience.

4. IoT Programming and Big Data

Duration: 5 Weeks

This course will teach you the introductory programming concepts that will help you understand IoT devices using the Python programming language. In addition, you will learn how to use Python to process text log files, such as those generated automatically by IoT sensors and other network-connected systems. No prior programming experience is required to enroll in this course.

5. Data Engineering Foundations

This course will take you through the fundamentals of data engineering. With a range of topics like data wrangling, database schema, and developing ETL pipelines, you will also experience several data engineering tools like Hive, Hadoop, Spark, and Airflow. By the end of this course, you will know the scope of data engineering in a data-driven organization.

6. Big Data in the Age of AI

Big data builds the foundations for many disruptive technologies that are crucial for businesses like AI and machine learning. In this non-technical course, you will learn how big data is shaping our data-driven world. Further, this course also digs into big data’s connection with AI, data science, social media, IoT, and ethical issues behind data.

7. Foundations for Big Data Analysis with SQL

This course will show you the big picture of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). By the end of this course, you will be able to distinguish operational from analytic databases and understand how these are applied in big data, understand how database and table design provides structures for working with data, appreciate how differences in volume and variety of data affect your choice of an appropriate database system, recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis, and explore databases and tables in a big data platform.

8. Data Ethics, AI, and Responsible Innovation

Duration: 7 weeks

In a world where we are surrounded by data, it is important to know how much control data has over us and vice versa. In this course, you will understand the ethical issues in the data lifecycle, learn about digital rights, data governance, responsible research, innovation, and apply critical judgment to solve moral problems with clear solutions.

9. Computational Thinking and Big Data

Duration: 10 weeks

Computational thinking is a skill that is critical for several industries to formulate a problem and express solutions for computers to work on. In this course, you will understand and apply advanced core computational thinking concepts to large-scale data sets, use industry-level tools for data preparation and visualization, such as R and Java, apply methods for data preparation to large data sets, understand mathematical and statistical techniques for attracting information from large data sets and illuminating relationships between data sets.

10. Taming Big Data with Apache Spark and Python

This course will teach you the hottest big data technology, Apache Spark. You will learn the concepts of Spark’s DataFrames and Resilient Distributed, develop and run Spark jobs quickly using Python, translate complex analysis problems into iterative or multi-stage Spark scripts, scale up to larger data sets using Amazon’s Elastic MapReduce service, understand how Hadoop YARN distributes Spark across computing clusters, and learn about other Spark technologies, like Spark SQL, Spark Streaming, and GraphX.

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These data science courses are offered by reputed tech universities.

In the current technological world, data science is one of the most in-demand skills. Companies across industries are leveraging data science capabilities to gain a competitive edge and make sense of the pools of data that are available as resources. Owing to the massive industry demand, data science is also becoming a lucrative career option for individuals who want to enter the tech world.

If you are a beginner who wants to pursue this route, there are several online courses (free and paid) that will teach you the basics and the required skills to do a commendable job. Here’s an article by Analytics Insight that highlights the best courses for beginners. If you are an experienced professional, it’s a good idea to polish your skills and get updated with the changing demands of this field. To help you find the right intermediate-level courses free of cost, here are our recommendations for you.

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1. Principles, Statistical and Computational Tools for Reproducible Data Science

Provided by Harvard University, this is an online course that will teach you skills and tools that support data science and reproducible research. If you have a hard time visually representing your findings, this course will help you do thorough research, reproduce it, and communicate it to the team efficiently. The duration of this course is for eight weeks and you can learn for free till September 15, 2021.

2. Big Data Analytics using Spark

This online course by UC San Diego is a part of its MicroMasters program. Essential for analyzing big data sets that require the use of distributed file systems like Hadoop and Spark, this course will teach to look for bottlenecks in massive parallel computation and how to use spark to minimize these bottlenecks. Through this, you will gain hands-on experience using PySpark within the Jupyter notebooks environment.

3. Data Analysis: Statistical Modeling and Computation in Applications

Offered by MITx, this course will start with a review of common statistical and computational tools such as hypothesis testing, regression, and gradient descent methods. You will study common models and methods to analyze specific types of data in four different domain areas, Epigenetic Codes and Data Visualization, Criminal Networks and Network Analysis, Prices, Economics and Time Series, and Environmental Data and Spatial Statistics.

4. Machine Learning with Python: from Linear Models to Deep Learning

In another course offered by MITx, here, you will learn about the principles and algorithms for converting training data into effective automated predictions. Topics like representation, over-fitting, regularization, generalization, VC dimension, clustering, classification, reinforcement learning, online algorithms, etc. will be covered. You will also implement and experience the algorithms in many Python projects designed for practical application.

5. Data Analytics for Business

Presented by Georgia Tech University, this course prepares students to understand business analytics and become leaders in these areas in business organizations by using scientific processes of transforming data into insights for making better business decisions. From methodologies, issues to challenges related to analyzing business data, this course will teach you how to apply business analytics algorithms and methodologies to solve business problems.

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Analytics Insight presents a list of the top online courses for Masters in Artificial Intelligence in 2021

Artificial Intelligence is reining the tech-driven era with its innovative cutting-edge technologies worldwide. Several science students are showing more interest in the vast field of Artificial Intelligence than the traditional five Engineering courses. The students are eager to learn more about Artificial Intelligence and its various categories to serve reputed companies for the welfare of society. Multiple eminent universities and institutes are offering admissions for Masters in Artificial Intelligence online due to the ongoing coronavirus pandemic. Interested students are not required to visit the campus when they can complete the programme through a laptop and a smooth internet connection at home. Let’s look at some of the educational institutes offering top Masters in Artificial Intelligence for their students.

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Top Online Masters in Artificial Intelligence in 2021

Johns Hopkins University

Johns Hopkins University has one of the first fully online Artificial Intelligence master’s programmes in the nation. The online curriculum consists of all aspects of Artificial Intelligence to prepare, design and create essential AI-driven technologies. There are ten courses for students with a certificate at the end of four courses. This university is leveraging its expertise in education with Artificial Intelligence to offer a robust curriculum such as NLP, robotics, neural network, computer intelligence and many more. The online academic course is taught by eminent professors, researchers, scientists and engineers.

Colorado State University Global

CSU Global is offering students an online Masters programme in Artificial Intelligence and Machine Learning to learn more about the potential effect of this field on society. The fully credited Master’s degree programme curriculum offers to analyse and associate AI principles with reasoning and uncertainty for multiple complex scenarios. It provides in-depth knowledge about programming, software development and training for different sectors such as healthcare, manufacturing, automobile and so on.

University of Bath

This Master’s course of Artificial Intelligence online offers students, from computer science as well as non-science backgrounds, an opportunity to learn more about the vast field of Artificial Intelligence. This online course provides the students to get equipped with the technical skills and confidence to face the tech-driven world. The online course includes an up-to-date understanding of the emerging possibilities of Artificial Intelligence in the upcoming years. The students can implement low-level Data Science functionalities in different programming languages. The faculty offers engaging video contents, live interactions as well as digital resources.

Columbia University

Columbia University offers the ColumbiaX MicroMasters Programme in Artificial Intelligence once a year from January. It is a professional and academic credential offered by edX.org for interested students. The lectures include video lectures, quizzes, assignments, interactive forums and many more. It offers a professional certificate to the enrolled students who can post it on LinkedIn as well as resumes. The students receive 7.5-course credits including Artificial Intelligence, Machine Learning and projects in Computer Science that consist of robotics and animation and CGI motion.

University of Liverpool

The University of Liverpool offers a full-time online Masters programme in Data Science and Artificial Intelligence for interested students. It is a closed collaboration with commercial partners from IBM and many eminent companies with lucrative scholarships. This online curriculum provides students skills to develop, design and evaluate intelligent systems with deep learning and NLP. The online development programme contains all types of software. The interested students can download the prospectus to know more about the Master’s programme.

Illinois Institute of Technology

Illinois Institute of Technology offers a practical and rigorous online curriculum for Masters in Artificial Intelligence for students. It includes machine learning, deep learning, computer vision, NLP and many more subjects. It provides the research projects analysing financial data, medical images, social media to kickstart the career in Artificial Intelligence. This online Masters programme requires students who can complete the course in three semesters plus a summer course.

BITS Pilani

BITS Pilani will be starting admission for Post Graduate Programme in Artificial Intelligence and Machine Learning from August 2021. It is an 11-month programme to develop a better understanding of AI and ML and its various sub-fields. It consists of a rigorous curriculum solving Data Science problems through online lectures and interactive forums. The students will gain more knowledge of lasso regression, ridge regression as well as interpretability of the predicted models.

NIT Warangal

NIT Warangal is offering an online Masters programme in Artificial Intelligence and Machine Learning with Edureka. The vision of the programme is to transform careers with 450 hours of rigorous learning on the Edureka platform. The Master’s programme provides industry-level assignments as well as courses to get ready to face the tech-driven world in reputed companies. There are more than 20 projects and over 100 case studies for a better understanding of the Artificial Intelligence field.

IIIT Delhi

IIIT Delhi is providing a nine-month PG diploma course with 450 hours of the programme including 310 hours of live interactive sessions and 140 hours of self-study and projects. The online course includes Python, statistics, mathematics, Business Intelligence, Machine Learning, Data Science, Big Data, NLP and many more sub-fields of Artificial Intelligence. The last date of application is June 20, 2021, and the classes will start in August.

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Analytics Insight has selected the top NITs and IITs that are offering artificial intelligence courses in 2021

IIT Hyderabad

IIT Hyderabad is providing an M.Tech course of 2 years in Artificial Intelligence. The admission for this course is conducted in two modes: Mode R1 and Mode R2. For Mode R1, candidates must have a valid GATE score from subjects like CS/ST/MA/EE/EC. For Mode R2, candidates must have passed or in the final year of M.Ac/ B.Tech/ B.E with a minimum of 8.0 CGPA. The shortlisted candidates are declared based on the valid information in the application form. In Mode R1, candidates are selected as per the GATE score. In Mode R2, candidates are shortlisted as per academics qualifying marks secured in the qualifying exam.

IIT Delhi

IIT Delhi is offering a Ph.D. program in the school of artificial intelligence. It is also providing a 6 monthly course on artificial intelligence with a certificate. The program coordinators are Dr. Hariprasad Kodamana, a Ph.D. from IIT Bombay, Dr. Agam Gupta, a fellow of the Indian Institute of Management Calcutta (IIM Calcutta), and Dr. Manojkumar Ramteke, a Ph.D. from the Department of Chemical Engineering, IIT Kanpur. Participants of this course will be awarded a successful completion certificate from IIT Delhi on scoring at least 50% points in each of the evaluation components and maintaining a minimum attendance of 70%. Participants who are unable to maintain 50% points in the evaluation components, but have a minimum attendance of 90% shall be awarded a participation certificate.

IIT Kanpur

Career Accelerator is IIT Kanpur’s flagship training and internship program in AI, IoT, Machine Learning, and Data Science. The Career Accelerator Program is conducted in two phases (30 days + 15 days) for an ideal learning experience.

NIT Karnataka

The department of information technology, National Institute of Technology Karnataka Surathkal has decided to start a new course in Artificial Intelligence. The Academic Senate, Board of the Institute, and Ministry of Education have approved a new four-year B.Tech program in Artificial Intelligence for the coming academic year 2021-22. The admissions to the program will be through JEE (Main) score.

NIT Trichy

M.Tech in Data Analytics offered by the Department of Computer Applications is available at NIT, Trichy. The course seeks to present its students with a vast knowledge base and wide range of data analytic techniques and is structured around the broad contours of the different types of data analytics. This programme is aimed at equipping students with the knowledge and familiarity of various tools that are necessary for big data analytics.

NIT Warangal

The E&ICT Academy at NIT Warangal has launched an online-only Post-Graduate Program in Machine Learning and AI in partnership with Edureka. The PG Program has been designed specifically for professionals who want to become experts in Machine Learning & AI or who want to transform their careers altogether. The program comprises 450 hours of intensive learning developed & curated by NIT Warangal faculty and leading Industry experts.

IIT Patna

Indian Institute of Technology (IIT) Patna in collaboration with WileyNXT has launched a Post Graduate Certification Course in three key fields; i.e. Cybersecurity and Blockchain; AI & Machine Learning; and Big Data Engineering. The six-month online professional certification programs come with over 150 hours of learning, several capstone projects and real-world case studies, immersions at the campus, and masterclasses by top industry experts and business technology drivers in India. These are designed to drive IT professionals towards growth in career and salaries and enable them to learn cutting-edge technologies in-depth.

IIT Guwahati

IIT Guwahati is set to offer a B.Tech course in Data Science and Artificial Intelligence for the 2021-22 academic session, and the admission process will be based on JEE score. IIT Guwahati has signed a Memorandum of Understanding (MoU) with the Mehta Family Foundation (MFF) USA to offer UG and PG courses in Data Science and Artificial Intelligence. As a part of this MoU, IIT Guwahati will set up the Mehta Family School of Data Science and Artificial Intelligence on its campus. The MoU was signed virtually by IIT Guwahati Director, TG Sitharam, and Rahul Mehta, CEO of Mehta Family Foundation, USA.

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A study on hiring trends states that 97,000 plus positions related to analytics and data science are vacant in India. A dearth of qualified professionals in this field has created such large vacancies in this field. In 2019, the number of vacant positions in this field increased by 45%, indicating the industry’s massive talent gap. 

The data science and business analytics field has revolutionized the industry and is evolving rapidly. Hence, professionals aspiring to make a career in this field need to upskill themselves. And this skill-gap has provided many institutes across India a chance to offer data science and business analytics courses. Today, there are several institutes offering these courses. However, if you narrow your search to a high-quality and reliable big data training institute, you will get only a handful of results. Here we present some of the best analytics courses in India

1. Post Graduate Program (PGP) in Data science by Insofe Education: 

The Post Graduate Program (PGP) in Data Science from Insofe Educations is a runaway hit among data science aspirants for its high-quality course content and flexible learning methodology. The course equips participants in necessary data science skills and works as a strong foundation for their careers. Importantly ten collaborative programs globally accept this course as their first-semester curriculum making it the only certificate course of such kind. 

The PGP course in data science by Insofe consists of 16 credits. It covers crucial topics like probability and statistics for data science, methods and algorithms in Machine Learning, and design thinking for data scientists. The 1:10 faculty ratio ensures all learners receive proper attention, while weekly group discussions with mentors help learners clear their concepts and doubts. Plus, the program has boot camps and hackathons to brush-up on Python and solve actual data science problems. The course has two learning modes. The live mode is for ten months, and the classroom mode is for six months. The course has more than 30 quizzes and 50 evaluations to give performance insights to participants. 

2. Post Graduate Program in Data Science by Praxis Business School: 

The nine-month post-graduate program in data science by Praxis School is a valuable learning experience for all enthusiasts. It is a full-time program for nine months. Praxis Business school offers this course in 3 cities – Bangalore, Kolkata, and Mumbai.

It is a full-time course. So it needs commitment and cannot be done while continuing a job. The full-time commitment ensures better completions and focused learning for the participants. 

3. MBA in Data Sciences & Data Analytics: 

If you are looking for an MBA, then the Symbiosis institute’s MBA in Data Science and Data Analytics is the ideal course for you. This course is a full-time weekday two-year program conducted by Symbiosis Centre for Information Technology. The program has a total of 1500 course hours. The comprehensive course-work allows students to get global competencies, and the institute has designed it meticulously to fuse technology and market trends. The course also offers guaranteed job placement for students. The frequent guest sessions, industry connections, and alumni meetings make this course highly engaging. 

4. Data science 360: Specialization course by AnlytixLabs

This comprehensive extensive data course has an effective pedagogy, gender diversity, and graduation outcomes. The program offers extensive tools to learners during its 224 hours of learning sessions. 

It provides a one-on-one mentorship program and also has an industry partnership with IBM to deliver the course. The duration of this course is nine months. 

5. Post Graduate Program In Data Analytics by Imarticus: 

Imarticus institute offers an offline course in PGP in Data Analytics. With five offline classes of 4 hours each per week, the program expects an extensive time commitment from participants. It covers tools like Python, R, SQL, Hadoop, Spark, Tableau, and PowerBI and offers hands-on projects, boot camps, hackathons, and personalized Capstone projects. 

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Data analytics skills are in high demand among organizations that are looking to use their collected data to generate valuable business insight. The pandemic and subsequent “new normal” of remote work are furthering demands for these skills. Many are turning to online learning platforms to up their game and acquire the data analytics skills most likely to help them stand out. And whether you are looking to acquire those skills for work or for play, this collection of Skillshare data analytics courses will help you learn the ropes so you can pilot some of the most widely used tools in no time!

With this in mind, the editors at Solutions Review have compiled this list of top-rated Skillshare data analytics courses to consider taking during the platform’s 40 percent off an annual subscription (with code aff40dtp at checkout) deal. Skillshare is perfect for those looking to take multiple courses or acquire skills in multiple different areas, or for those who want the most in-depth experience possible through access to entire course libraries or learning paths. In sum, millions of members use Skillshare to take the next step in their journey.

Note: Our editors assembled this directory by listing top-rated Skillshare big data courses in the most popular associated coverage areas including Hadoop, data warehousing, ETL (Extract, Transform, Load), Cloudera, Apache Cassandra, data management, and MuleSoft.

Excel 101: Big Data Analysis & Reporting in Excel for 2019

Platform: Skillshare

Description: In this course you will learn multiple ways to take large data sets and do exactly what you need to with it.  By the end of this course, you will be able to use any of the multiple tools, tips, and techniques you’ll be learning to effectively and quickly take data, create professional reports, and most important read and interpret large data sets.

Related path/track: The Ultimate Hands-On Hadoop: Tame your Big Data!

Go to training

Big Data and Hadoop for Beginners – with Hands-on!

Platform: Skillshare

Description: The main objective of this course is to help you understand complex architectures of Hadoop and its components, guide you in the right direction to start with, and quickly start working with Hadoop and its components. This course comes with a lot of hands-on examples which will help you learn Hadoop quickly.

Go to training

Data Warehouse ETL Testing & Data Quality Management A-Z

Platform: Skillshare

Description: Learn the essentials of ETL data warehouse testing and data quality management through this step-by-step tutorial. This course takes you through the basics of ETL testing, frequently used data quality queries, reporting and monitoring. In this tutorial we will learn how to build database views for data quality monitoring and build data quality visualizations and reports. The course contains training materials, where you can practice, apply your knowledge and build an app from scratch. The training materials are provided in an Excel file that you can download to your computer.

Related paths/tracks: AWS Data Warehouse – Build with Redshift and QuickSight, Snowflake Cloud Data Warehouse and Essential SQL Training

Go to training

Data Warehouse ETL Testing & Data Quality Management A-Z

Platform: Skillshare

Description: Learn the essentials of ETL data warehouse testing and data quality management through this step-by-step tutorial. This course takes you through the basics of ETL testing, frequently used data quality queries, reporting and monitoring. In this tutorial we will learn how to build database views for data quality monitoring and build data quality visualizations and reports. The course contains training materials, where you can practice, apply your knowledge and build an app from scratch. The training materials are provided in an Excel file that you can download to your computer.

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MuleSoft Mule ESB from scratch

Platform: Skillshare

Description: This course teaches you the Mulesoft from scratch. No prior knowledge is required to understand this course. The module will cover all major connectors and events which are required to understand the Mule-ESB concept. At the end of this course, students should be able to build an application network using API-led connectivity and Anypoint Studio, use Anypoint Exchange as a central repository for the discovery and reuse of assets, and use flow designer to build apps that consume assets and connect systems.

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New Delhi,: Careerera, a leading platform for higher education courses and certification programs on the web platform has announced a post-graduation program on ‘Data Science’ that aims at achieving the par excellence in the field of data science and for those who are looking to acquire new skills.

Apart from python, this 1-year long program includes bonus courses in cloud computing tools such as AWS and advanced python language like Flask. Along with that, Careerera is offering an Employability Enhancement Program (EEP), crafted to bridge the gap between skills possessed by the candidates and the abilities that are looked for by the organization. The program focuses on assisting the students to prepare for the job opportunities at leading organizations and companies, Careerera will provide thereafter. The Data Science certification training deals with the engineering and analytical aspect of data science.

“We are very excited to offer this cutting-edge program in Data Science together with experts. The demand for qualified data analysts is high and increasing. But employers aren’t just looking for people with the right technical skills; the ideal job candidate needs to excel at business thinking as well. Throughout the course, students also benefit from industry experts to help them accelerate their learning. They’re also paired with a dedicated career coach who will help them with interview prep and resume review. Careerera already has partnerships with key employers to help surface placement opportunities for its graduates. Six months after the course finishes, if a graduate doesn’t get a data science job, they are refunded all the money they spent” said Mr. Vivek Singh, CEO, Careerera.

It is no secret that these days, the future of big organizational work is being shaped by some of the potent forces namely, artificial intelligence, data science, and machine learning. Owing to the same reason, while many jobs will be lost but many more would be found. Depending on, who adapts the right skills at the right time.

Since data is one of the important features for any organization as it helps leaders to take meaningful steps based on facts, statistical data, and trends. This is the same reason for the rise in the popularity of Data Science.

In a 2012 article, Harvard business review announces Data Scientist as the ‘The Sexiest Job of the 21st century.’ and since then, the trend of this profile has been rising only.

Careerera a well-established organization and has been provided opportunities to those who seek excellence in terms of skills and jobs. Even in the times of pandemic and wreckage of the economy, Careerera placed 500+ candidates.

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Has it ever occurred to you that you came across an array of ads of social networking sites of the running shoes you had searched on a different website the previous day? Or the online food ordering app making suggestions about new kebabs joint nearby your area? How about when you are texting someone, and the keyboard suggests you the exact words that you might want to use in your sentence? Or Twitter suggesting tweets that you might be interested in?

These are the real-life applications of data science. Over the past decade, data science has successfully transformed our lives. From Zomato to Tinder, Twitter to LinkedIn, data science is everywhere. It seems that there is an opportunity for data science in every industry imaginable. And data scientist is considered as one of the sexiest jobs today. And without a doubt, the demand is increasing every day.

This is because, today, data scientists can help businesses in numerous ways like mitigating risks and frauds using statistical, network, path, and big data methodologies. They can guide business brands about where and when to deliver their products and personalized customer experiences to meet the customers’ demands. They can identify opportunities, target audiences, and refine them. Further, they empower management to make better decisions, recruit the right talent for the organization, and adopt practices that will help brands achieve their goals and promises. All these are possible by making sense of hordes of data and locating relevant patterns and designs in them, to arrive at actionable insights. Data science helps in industries like pharmaceuticals for drug discovery, healthcare to find the right treatment solutions that help take patient care to the next level.

Therefore, it is becoming evident by the day that there is enormous value in data processing and analysis. So to reap the maximum benefits of this opportunity one needs to have adequate skills in data science. And for adding this extra skillset one may not need formal qualifications in the subject, just the knowledge of the fundamental theory and practical skills are enough to enhance one’s employability and career prospects. Although a certification course can cost much, especially for a student, there are tonnes of affordable data science courses online that can help to kickstart a career in data science.

Data Science Crash Course, John Hopkins University (Coursera)

Designed to give a simple overview of what data science is, how it works, and what it can be used to do. This course offers an introduction to the technical side of data science but is mainly aimed at understanding the big picture for those who need to manage data scientists or data science work. It’s a relatively short course as it consists of one module that can be finished in a week. It can serve as an excellent introduction for those who want to learn the terminology and understand how to build a data science strategy, without necessarily needing detailed instructions on using the technical tools involved.

The Data Science Course 2020: Complete Data Science Bootcamp (Udemy)

It can boost up your resume with in-demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and sci-kit-learn, Deep learning with TensorFlow. Post the course completion, and one can create Machine Learning algorithms in Python, using NumPy, statsmodels, and sci-kit-learn. Also, learn to use Deep Learning frameworks such as Google’s TensorFlowDevelop that a business intuition may use while coding and solving tasks with big data.

The Complete 2020 Big Data and Machine Learning Bundle

This 10-course bundle comprises 68 hours of training in big data and machine learning solutions from some of the top instructors on the Internet. At first, students will learn how to search and analyze data using Elasticsearch, how to harness and organize massive sets of unstructured data using tools like Hadoop, MapReduce, and Apache Spark. After mastering those, one shall learn how to apply machine learning tech to understand the data and draw quicker, better insights from it. Students will get to work with tools like Keras, Python, and Tensorflow and understand how to power machine learning and artificial intelligence.

Introduction to Data Science (Revised) – Alison

A completely free course that breaks down the core topics of the data science process and an introduction to machine learning into three modules, each designed to take around three hours to complete, and concluding with an assessment. Once you’ve worked through that, you can choose from several other similarly bite-sized tutorials covering data programming languages, visualization tools, and techniques such as building clustering and regression models

A data scientist can help us to meet the challenges of the rising demand for data-oriented services and a sustainable future while ensuring the best solutions for the present and future. Hence, they will soon become an integral part of the businesses and various organizations and help the world address significant global challenges, which in turn has far-reaching impacts across the globe. So it is high time to learn that extra skill on the resume.

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