Best Free AI & Data Science Courses Launched in 2021

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In recent years, Artificial Intelligence (AI) has been seen as an ever-changing and rapidly growing space. It has been widely adopted in all industries and fields not only to study and analyze data or find hidden patterns, but also to make meaningful decisions in real life.

The global AI market was worth $ 35.92 billion in 2020. And according to Fortune Business Insights, the market is expected to grow at a CAGR of 33.6% between 2020 and 2028, reaching a valuation of 360.36 billion. dollars in 2028. India itself is expected to invest $ 1 billion in the AI ​​space by 2023. In fact, last year the Indian government allocated $ 477 million to the AI ​​space. country’s AI ecosystem.

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To make the most of this opportunity, universities and educational institutions around the world have invested heavily in making the study of AI accessible to everyone. Indian colleges and universities have also introduced new courses to meet the growing demand for AI and data science specialists.

Analytics India Magazine has curated a list of the top 11 free AI and data science courses launching in 2021.

Unnati Program | Intelligence

Semiconductor company Intel has launched its Intel Unnati program to equip Indian engineering students with the right data-centric skills. In addition, Intel plans to set up 100 Intel Unnati Data-Centric labs over the next year at engineering institutes and universities, with a focus on research and innovation. This program will allow students to effectively combine Intel FPGA hardware and software to accelerate workloads for processor-intensive tasks. At the end of the program, they will receive an Intel co-branded certificate.

Machine Learning For Beginners | Microsoft x MIT

Microsoft has launched a 12-week MIT-approved ML course for beginners. The 26-lesson program will teach students classic machine learning using Scikit-learn. The course covers the following topics: Introduction to ML, Its History, Fairness in ML, ML Techniques, Introduction to Regression, Classification, Clustering, NLP Tasks, Sentiment Translation and Analysis, Time Series Prediction, Reinforcement Learning, etc.

re / Start | AWS

Amazon Web Service (AWS) re / Start is a full-time classroom skills development and training program designed to help aspirants prepare for and connect with potential employers in the cloud space. Through this course, students will learn the fundamentals of the AWS Cloud and be able to develop skills using Linux, Python, networking, security, and relational databases. The program is currently held in all cities – Bengaluru, Kolkata, Chennai, Pune and Thiruvananthapuram.

AI Research Methods for Problem Solving | IIT Madras

Indian Institute of Technology, Madras 12-Week AI Course is hosted on the NPTEL (National Enhanced Technology Learning Program) platform and taught by Professor Deepak Kehmanu of the Department of Computer Science and Technology. ‘engineering. The course is free of audit, but you have to pay 1000 Rs to take the test.

Improving AI and Data Science for Punjab Youth

Indian Institute of Technology, Ropar, and the Punjab Skill Development Mission have teamed up to offer a free AI and data science course to young people in Punjab. Open to grade 12 students with a background in mathematics; the program will consist of two module-based programs: the L2 program for four weeks; and L3 program for twelve weeks. Students will receive a certificate from IIT Ropar after completion of the course.

Building Trusted AI Products | Google

Upon completion of this coding program, learners will be able to create reliable, user-centric AI products with the People + AI Research (PAIR) guide. Additionally, learners will experience the latest additions of the second edition of the PAIR Guide and complete a series of exercises, highlighting the opportunities in the AI ​​development process to calibrate user trust, focusing on data. and explainability to the user. Additionally, they will receive an introduction to a larger toolbox of available materials and resources.

Data Science: Machine Learning | Harvard x EdX

This machine learning course is offered by Harvard University as part of a larger professional certificate program in Data Science. The course focuses on data analysis and statistics and aims to help students create a recommendation system for movies and learn the science behind a popular data science technique. Display the end of this course; learners will know ML basics, how to cross-validate to avoid overtraining, popular ML algorithms, regularization and its usefulness. The estimated time to complete the course is eight weeks, provided students spend two to four hours per week.

See also

Data Science Specialization | Coursera

This Data Science Specialization course is offered by Johns Hopkins University and will help learners launch their careers in data science. Course participants will learn how to use R to clean, analyze and visualize data; navigate the data science pipeline – from data acquisition to publication; perform regression analysis and inference using regression models; and use GitHub to manage data science projects.

This beginner-level course lasts approximately 11 months and includes ten modules as part of the specialization. The course instructors are Jeff Leek – Associate Professor of Biostatistics, Roger D Peng – Associate Professor of Biostatistics and Brian Caffo – Professor of Biostatistics.

Foundations of Data Science | CognitiveClass.ai

CognitiveClass.ai’s entry-level Data Science Foundations program consists of three courses:

  • Introduction to Data Science: Learn about data science practitioners and gain insight into the field.
  • Data Science Methodology: Learn how to solve data science problems, collect and analyze data, build a model, and understand feedback after model deployment.
  • Data Science Tools: Learn about popular data science and data visualization tools like Jupyter Notebooks, RStudio IDE, IBM Watson Studio, and more.

Introduction to Computational Thinking and Data Science | MIT x EdX

Offered by MIT, the Introduction to Computational Thinking and Data Science course includes Advanced Programming in Python 3, Backpack Problem, Graphics and Graphics Optimization, Dynamic Programming, Plotting with the pylab package, probability, distributions and statistical errors. The course is led by John Guttag, Eric Grimson and Ana Bell from MIT. The estimated time to complete this course is nine weeks, provided learners spend 14-16 hours per week.

data mining course | KDNuggets

The Introductory Data Mining Course on KDNuggets is a semester introductory data mining course for advanced and first year students. The course is created by Dr Gregory Piatetsky-Shapiro and Professor Gary Parker. It covers topics like ML and Data Mining, ML and Classification, Regression, Visualization, Synthesis, and Targeted Marketing, among others.


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