Hey Aspiring Data Scientists! Are you looking for free data science courses online? or where can I learn data science for free? If yes, then you don’t have to look at it anymore because UpGrad Data Science Courses are Free with a Certificate in 18+Courses. These free data science courses are for beginners who want to kickstart their career in the field of data science.
Well, these are the top free data science courses that one does to upskill themselves. The main benefits of these courses are that they are backed by industry experts, self-paced courses, and can complete in a short-term duration. This means you don’t have to quit your job/college studies to complete it.
Now, that you know the platform where you can get a free data science course and that too online. Let’s have a deep dive into it to see what’s types of courses UpGrad is offering.
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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.
Course Content:
- Module 1: Welcome And Introduction
- Module 2: Introduction to Tableau
- Data Visualization
- Common Chart Types – I
- Common Chart Types – II
- Practice Questions
- Practice Questions – I
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Programming with Python: Introduction for Beginners
- Understanding UpGrad Coding Console
- Basics of Python
- Data Structures in Python
- Control Structures and Functions in Python
- OOP in Python
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Introduction to e-commerce
- Introduction to eCommerce domain
- Data Analytics in eCommerce
- Module 3: Recommendation Systems
- Module 4: Price Optimisation
- Price Markup and Markdown
- The Four Force Mode
- Module 5: Marketing Mix Modelling
- Factors that Impact Sales
- Modeling the Impact of KPIs
- Module 6: A/B Testing
- A/B Testing
- Module 7: Course Wrap for e-commerce
- Course Wrap
- Module 8: Assignment – Recommendation Systems
- Assignment – Recommendation System
- Assignment Solution
- Module 9: Case-Study Ecommerce
- Ecommerce
- Ecommerce (Solution)
- Module 10: Industry Immersion
- Expert Faculty Members (Optional)
- Industry Projects
- Module 11: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Introduction to Data Analysis using Excel
- Introduction to Excel
- Data Analysis in Excel
- Data Analysis in Excel
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Exploratory Data Analysis in Excel
- Data Sourcing
- Data Cleaning
- Univariate Analysis
- Segmented Univariate
- Bivariate Analysis
- Derived Metrics
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Introduction to Database Design with MySQL
- Understanding upGrad Coding Console
- Database Design
- Database Creation in MySQL Workbench
- Querying in MySQL
- Joins and Set Operations
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Advanced SQL: Functions and Formulas
- Window Functions
- Query Optimisation
- Programming Constructs and Stored Functions
- Practice Questions
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Learn Basic Python Programming
- Basic Coding
- Lists
- Strings
- Other Data Structures
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Learn Python Libraries: NumPy, Matplotlib, and Pandas
- NumPy
- Matplotlib
- Pandas
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Linear Algebra for Analysis
- About the Course
- Vectors and Vector Spaces
- Linear Transformation And Matrices
- Eigenvalues And Eigenvectors
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Data: Analysing Patterns and Storytelling
- Analyzing Patterns and Generating Insights
- Documenting Insights
- Data Visualisation and Storytelling
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Data: Basics of Inferential Statistics
- Basics of Probability
- Discrete Probability Distributions
- Continuous Probability Distributions
- Central Limit Theorem
- Applications of Sampling Methods
- Inferential Statistics – Additional Resources
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Data: Basics of Inferential Statistics
- Concepts of Hypothesis Testing
- Concepts of Hypothesis Testing – II
- Hypothesis Testing – Additional Resources
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Unsupervised Learning: Clustering
- Introduction to Clustering
- K Means Clustering
- Executing K Means in Python
- Hierarchical Clustering
- Other Forms of Clustering
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Logistic Regression for Beginners
- Univariate Logistic Regression
- Multivariate Logistic Regression – Model Building
- Multivariate Logistic Regression – Model Evaluation
- Logistic Regression – Industry Applications – Part I
- Logistic Regression: Industry Applications – Part II
- Module no. 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Linear Regression – Step by Step Guide
- Introduction to Simple Linear Regression
- Simple Linear Regression in Python
- Multiple Linear Regression
- Multiple Linear Regression in Python
- Industry Relevance of Linear Regression
- Additional Links – Linear Regression
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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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.
Course Content:
- Module 1: Welcome & Introduction
- Module no. 2: Fundamentals of Deep Learning of Neural Networks
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress
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.
Course Content:
- Module 1: Welcome & Introduction
- Module 2: Introduction to Natural Language Processing (NLP)
- Introduction to NLP
- Basic Lexical Processing
- Advanced Lexical Processing
- Module 3: upGrad Success Mantra
- Student Support
- Career Support
- Career Progress’
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Certificate
Yes, you get a free verified certificate from UpGrad. You can add it to your resume as well.
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How to Apply for UpGrad Data Science Courses Free?
To get all the courses CLICK HERE.
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