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There are almost 18 free data science online courses from UpGrad that can help you to upskill. Let’s begin with our first courses.
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.
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.
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.
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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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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