7 Free Courses for Data Analysts in 2024
Transform your data analytics skills with these free Courses
Taking action is always difficult but everything starts after 1st step. Data analysts play a pivotal role in transforming raw data into actionable insights and shaping the future of businesses.
In today’s data-driven world, knowledge is important for everything but the problem is where to get it without wasting your time and money.
To empower aspiring and experienced data analysts alike, today I have compiled a comprehensive list of 7 exceptional free courses that can help you elevate your skills and expertise in 2024.
Whether you are a novice seeking to enter the field of data analytics or a seasoned professional aiming to refine your expertise, these free courses offer a powerful pathway to career advancement and success.
Here are the top 7 courses with the same caliber of paid courses.
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TL;DR
→ Introduction to Data Analysis → SQL for Data Analysis → From Core Concept to Data Analysis (Bayesian Statistics) → Data Analysis with R → Exploratory Data Analysis in Python → Data Analysis and Visualization → Python for Data Analysis

Let’s get into it!
1. Introduction to Data Analysis
This is the best course for beginners who just started to learn about data analysis. You will not only learn the data analysis whole process but also learn very popular Python libraries such as Pandas and Numpy, etc.
It’s a complete roadmap for beginners by Udacity. You can complete it in the span of 3 to 6 weeks depending upon how fast you learn or how much time you give a day.
📌Time to Complete– 3 to 4 Weeks 📌Best For- Beginners
Get a free course here: Intro to Data Analysis
2. SQL for Data Analysis
This is another free course for beginners by Udacity. SQL for Data Analysis course is a must-have free course that will help you master SQL.
Structure Query Language (SQL) is used for a variety of purposes and is must must-have skill for all data analysts.
SQL is crucial for a variety of reasons:
→ Data Storage and Organization → Data Manipulation and Retrieval → Data Integration and Exchange → Data Security and Access Control
if you want to learn or brush up on your SQL skills, this is the best course.
📌Time to Complete– 4 Weeks 📌Best For- Beginners
Get a free course here: SQL for Data Analysis
3. From Core Concept to Data Analysis (Bayesian Statistics)
This is a free Audit course offered by the University of California.
It is a four-module course that introduces students to the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data.
Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.
📌Time to Complete– 10 to 12 Weeks 📌Best For- Intermediate
Free course here: Bayesian Statistics course
4. Data Analysis with R
This Data Analysis with R is an intermediate-level free course to master R language with data analysis concepts and skills.
You will be using R programming language to prepare, clean, manipulate, visualize, and analyze data.
This course specifically deep dive into:
→ What is EDA? → R Basics → Explore One Variable → Explore Two and Many Variable → Diamonds and Price Predictions
📌Time to Complete– 4 to 5 Weeks 📌Best For- Intermediate
Free course here: Data Analysis with R
5. Exploratory Data Analysis in Python
EDA is an essential step in any data science project, as it helps to identify patterns, trends, and anomalies in the data. This will help you learn the rest of the workflow, such as model building and decision-making.
You will also learn how to define the explanatory variable and the response variable and understand the differences between simple linear regression and multiple linear regression models.
You will learn how to evaluate a model using visualization and learn about polynomial regression and pipelines.
In this Exploratory Data Analysis in Python course, you will get access to its first lesson free of cost. But it will help you immensely.
📌Time to Complete– 3 to 4 Weeks 📌Best For- Intermediate
Get started here: EDA In Python
6. Data Analysis and Visualization
Data analysis and visualization are often used together to gain a deeper understanding of data. This course will introduce you to the field by covering state-of-the-art modeling, analysis, and visualization techniques.
For example, data analysts might use data visualization to create charts and graphs to show the distribution of data, identify outliers, and explore relationships between different variables.
You will be using R programming language to complete all challenges. This course also requires some previous understanding of math and statistics
📌Time to Complete– 10 to 12 Weeks 📌Best For- Intermediate
Get the course here: Data Analysis and Visualization
7. Python for Data Analysis
Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models.
Topics covered include:
→ collecting and importing data → cleaning, preparing & formatting data → data frame manipulation → creating data pipelines
You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations.
You will then predict future trends from data by developing linear, multiple, and polynomial regression models & pipelines and learn how to evaluate them.
📌Time to Complete– 0 to 2 Weeks 📌Best For- Beginner to Intermediate
Here is the link: Python for Data Analysis
That’s a Wrap. Happy Learning ❤
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