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15+ UpGrad Free Data Science Courses
There are almost 18 free data science online courses from UpGrad that can help you to upskill. Let’s begin with our first courses.
1. Introduction to Tableau
This course teaches you to create data visualizations using a popular data visualization tool i.e., Tableau. The duration of the course is 8 hrs 5 mins. Now let’s have a closer look at the course content.
2. Programming with Python: Introduction for Beginners
This course introduces you to the syntax of the Python programming language, its data structures and control structures, and the application of Object-Oriented Programming in Python. Its Duration is 12 hrs 25 mins. Now let’s have a closer look at the course content.
3. Data Science in E-commerce
Examine how monitoring and analytical skills are used in the E-commerce domain to make business decisions. The duration of this course is 20 hrs 40 mins. Let’s have a closer look at the course content.
4. Introduction to Data Analysis using Excel
This course advances your basic Excel skills by getting you comfortable with Excel functions and analysis. The duration of the course is 9 hrs 30 mins. Let’s have a closer look at the course content.
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5. Exploratory Data Analysis in Excel
This course teaches you to assess the data you have to build an informed strategy to grow the business. The duration of the course is 13 hrs 20 mins. Here is the course content for this course.
6. Introduction to Database Design with MySQL
This is a course about database design and the basics of MySQL using MySQL Workbench. The duration of the course is 8 hrs 5 mins. Here is the course content for this course.
7. Advanced SQL: Functions and Formulas
In this module, you will learn all about window functions, case statements, stored functions, and query optimization. The duration of the course is 8 hrs 55 mins. Here is the course content for this course.
8. Learn Basic Python Programming
This course will revise your basic concepts of lists and strings from a coding perspective in Python. The duration of the course is 8 hrs 55 mins. Here is the course content for this course.
9. Learn Python Libraries: NumPy, Matplotlib, and Pandas
This is a preparatory course on Python libraries: NumPy, Matplotlib, and Pandas. The duration of the course is 10 hrs. Here is the course content for this course.
10. Linear Algebra for Analysis
In this course, we will walk you through the basics of linear algebra. The duration of the course is 3 hrs 45 mins. Here is the course content for this course.
11. Analyzing Patterns in Data and Storytelling
This course teaches you to identify patterns and to communicate the insights you draw from data effectively at work. The duration of the course is 5 hrs 20 mins. Here is the course content for this course.
12. Basics of Inferential Statistics
In this course, you’ll learn about probability and statistics, continuous and discrete probability distributions, sampling methods and their error quantification, and central limit theorem. The duration of the course is 12 hrs. Here is the course content for this course.
13. Hypothesis Testing
In this course, you’ll learn about types of hypotheses, types of tests for the hypothesis, decision-making criteria for hypothesis, critical value, and p-value methods for testing. The duration of the course is 5 hrs 30 mins. Here is the course content for this course.
14. Unsupervised Learning: Clustering
In this course, you will learn how to group elements into different clusters when you don’t have any pre-defined labels. The duration of the course is 9 hrs 35 mins. Here is the course content for this course.
15. Logistic Regression for Beginners
In this course, you will study the theory of logistic regression, a machine learning technique for binary classification. The duration of the course is 15 hrs. Here is the course content for this course.
16. Linear Regression – Step by Step Guide
This course will take you through linear regression which helps us to understand the impact of variables over another. The duration of the course is 18 hrs 35 mins. Here is the course content for this course.
17. Fundamentals of Deep Learning of Neural Networks
In this course, you’ll be introduced to the basics of Neural Networks and concepts related to Deep Neural networks. The duration of the course is 24 hrs 15 mins. Here is the course content for this course. Here is the course content for this course.
18. Introduction to Natural Language Processing (NLP)
In this course, you’ll learn the basics of NLP and use regex to build tools for spell correction, phonetic hashing, and spam detection. The duration of the course is 9 hrs 25 mins. Here is the course content for the same.
