19 Free Data Science Courses from Harvard and IBM

Introduction

Data science is a rapidly growing technological field that is transforming business decision-making. To enter this field, you need the right skills. Fortunately, top institutions like Harvard and IBM offer free online courses. These courses cover everything from basic programming to advanced machine learning. In this article, we list some of the best free courses from Harvard and IBM. They are great for beginner and intermediate students who want to improve their data science skills.

Free Harvard Courses

1. Introduction to Programming with Scratch

Harvard CS50 Introduction to programming with Scratch It's a great starting point for anyone without programming experience. It uses Scratch, a visual programming language where you create code by dragging and dropping graphical blocks, ideal for beginners.

Course Overview

• Features: Instructions that perform specific tasks.
• Return values: Results provided by functions.
• Conditions: Logic that decides if actions should happen.
• Loops: Repeat certain actions.
• Variables: Store information.

Course Features

• Helps you create animations, games and interactive art.
• Prepares you for advanced programming in languages ​​such as Java and Python.

Registration details

• Free course with option to obtain a certificate for $299.
• Part of Harvard's broader CS50 curriculum.

Check out these free data science courses from Harvard here.

2. Introduction to artificial intelligence with Python

This course delves into artificial intelligence (ai) and machine learning (ML) with Python. It is designed for those who want to try ai.

Course Overview

• Graph Search Algorithms: Browse data structures.
• reinforcement learning– Learn how agents make decisions based on rewards and penalties.
• Principles of machine learning: Explore techniques that help systems learn from data.
• Intelligent system design: Learn to build systems that think and learn.

Course Features

• Understand ai concepts and algorithms.
• Master Python for ai.
• Work on machine learning libraries and design intelligent systems.

Registration details

• The course also offers a verified certificate for $299.

You can find more details of these free Harvard data science courses. here.

3. Introduction to data science with Python

This course focuses on teaching practical data science skills using Python. Gives you hands-on experience solving real-world problems.

Learning outcome

• Python coding for statistics and modeling.
• Work with libraries such as Pandas, NumPy and Matplotlib.
• Run machine learning models such as classification and linear regression models.

Registration details

• A certificate is available for $299.

Click here to explore this free Harvard data science course.

<h3 class="wp-block-heading" id="h-4-machine-learning-and-ai-with-python”>4. Machine Learning and artificial intelligence with Python

In this course, you will delve deeper into machine learning techniques and their applications.

Learning outcome

• Build and evaluate machine learning models.
• Understand decision trees, random forests, and gradient boosting.
• Identify and reduce data bias in machine learning models.

Registration details

• The certificate option is available for $299.

Find all the details of this course. ai-python” target=”_blank” rel=”noreferrer noopener nofollow”>here.

5. Data Science: Visualization

This course teaches the basics of effective data visualization using the R programming language and the ggplot2 package. You'll learn how to communicate data-driven insights through visuals.

Learning outcome

• Create custom graphics.
• Analyze real-world data on health, economics, and infectious diseases.
• Learn how to spot glitches in common visualizations.

Registration details

• Certificate available for $219.

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6. Data Science: Probability

Harvard's Data Science: Probability course provides a deep understanding of probability theory and its importance in data science.

Learning outcome

• Understand random variables, independence, and expected values.
• Perform Monte Carlo simulations.
• Use the central limit theorem in data analysis.

Registration details

• Get a certificate for $149.

Click here to explore this free Harvard data science course.

7. Data Science: Inference and Modeling

This course covers statistical inference and modeling techniques, often using election forecasts as a case study.

Key themes

• Estimates, margins of error and confidence intervals.
• Bayesian modeling techniques.
• Aggregate data for greater accuracy.

Registration details

• A certificate is available for $149.

Click here to explore this free course from Harvard University.

8. Data science: disputes

Data manipulation is essential for any data science project. This course teaches you how to clean and prepare data for analysis using R.

Learning outcome

• Import and clean data from various sources.
• Use tidyverse tools for data manipulation.
• Perform web scraping.

Registration details

• A certificate is available for $149.

Click here to explore this free data science course from Harvard University.

9. Data Science: Machine Learning

This course provides an introduction to machine learning concepts and focuses on building predictive models.

Learning outcomes

• Apply machine learning algorithms.
• Perform cross validation.
• Build a movie recommendation system.

Registration details

• Certificate available for $149.

You can explore this free course. here.

10. Data Science: Linear Regression

Linear regression is a fundamental statistical method and this course teaches how to use it to analyze real-world data.

Learning outcome

• Understand the theory of linear regression.
• Implement linear regression in R.
• Evaluate model performance and make predictions.

Registration details

• Certificate available for $149.

You can find details of this free data science course from Harvard University here.

Free IBM Courses

1. What is data science?

This course provides a broad introduction to the field of data science and covers its basic principles.

Learning outcome

• Understand what data science is.
• Recognize its importance in all industries.
• Familiarize yourself with essential tools and techniques.

Click here to explore this free data science course from IBM.

2. Data analysis with Python

Learn how to analyze and visualize data using Python libraries such as Pandas and Matplotlib.

Learning outcome

• Manipulate data with Python.
• Perform data cleaning tasks.
• Create visualizations to extract information.

Click here to explore this free data science course from IBM.

<h3 class="wp-block-heading" id="h-3-python-for-data-science-ai-amp-development”>3. Python for data science, artificial intelligence and development

This course is a comprehensive introduction to using Python for data science and artificial intelligence applications.

Learning outcome

• Using Python for data manipulation.
• Implementation of machine learning algorithms.
• Creating effective data visualizations.

ai-14403″ target=”_blank” rel=”noreferrer noopener nofollow”>Click here to explore this free data science course from IBM.

4. Python Basics for Data Science

Designed for beginners, this course introduces programming in Python, with a focus on data science applications.

Learning outcome

• Understand Python syntax and data types.
• Use Python for data analysis.
• Implement basic data science techniques using popular libraries.

Click here to explore this free data science course from IBM.

5. Data analysis with Python

In this course, you will master the basics of data analysis using Python.

Learning outcome

• Manipulate data with Pandas.
• Perform exploratory data analysis.
• Use visualizations to communicate findings.

Click here to explore this free data science course from IBM.

6. Cornerstone of applied data science

This capstone course allows students to apply their data science skills to a real-world project.

Learning outcome

• Complete a complete data science project from start to finish.
• Apply various tools and techniques to solve complex problems.
• Communicate findings through visualizations and reports.

Click here to explore this free data science course from IBM.

7. Data visualization with Python

Learn how to create effective data visualizations using Python libraries such as Matplotlib and Seaborn.

Learning outcome

• Understand the principles of data visualization.
• Create different types of visualizations.
• Interpret visual data.

Click here to explore this free data science course from IBM.

8. IBM Data Analyst Capstone Project

This capstone course allows you to showcase your data analysis skills through a hands-on project.

Learning outcome

• Perform a complete data analysis.
• Create visualizations to communicate insights effectively.
• Develop a complete data analysis project, solving real-world problems.

Click here to explore this free data science course from IBM.

9. Introduction to data analysis

This course provides an overview of data analysis and its essential concepts.

You will learn to:

• Understand key data analysis terms.
• Apply analytical techniques.
• Interpret insights from data and communicate findings effectively.

Click here to explore this free data science course from IBM.

Helpful Resources for Mastering Data Science

Conclusion

Whether you're a beginner or looking to improve your data science knowledge, these free courses from Harvard and IBM can be really helpful. So, choose the course that suits your goals and start your data science journey today.

Happy learning!