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If you want to pursue a career in data science, learning data science is extremely helpful. That’s why we’ve put together a list of free data analytics courses to facilitate you jumpstart your journey!
Even if you’re an absolute novice excited to explore the field of data, you’ll find these courses helpful. Because they are tailored to aspiring data professionals and require no prior programming experience.
Let’s start.
To combine: Google Data Analytics specialist certificate
This Google Data Analytics Professional Certification is one of the most popular specializations on Coursera, with nearly 2 million students worldwide. The goal of this certification is to introduce you to the fundamentals of data analysis. To facilitate you land an entry-level analyst role in less than 6 months. No prior experience is required either.
The specialization includes 8 courses that will facilitate you learn the basics of data analysis using SQL, spreadsheets, Tableau and R programming. The Google Data Analytics certification program includes the following courses:
- Basics: Data, Data, Everywhere
- Ask questions to make data-driven decisions
- Prepare your data for exploration
- Process data from grubby to immaculate
- Analyze data to answer questions
- Share data through the art of visualization
- Data analysis with R programming
- Google Data Analysis Summary: Complete the Case Study
Note: If you want to get the Google Data Analytics Specialization certification, you will need to have a Coursera Plus subscription. If you are unable to pay for the certification, you may want to consider applying for financial aid. However, you can audit your course for free and gain access to training materials.
To combine: Data Analysis in Python for Excel Users
The Google Data Analytics Specialist certification should give you a good understanding of data analytics and some basic tools such as spreadsheets, SQL, R, and Tableau.
Now that you can work with spreadsheets, you can learn Python for data analysis. Python is not only much easier to learn than R, but it also has a wider range of applications.
The Data analysis with Python for Excel users freeCodeCamp course is a free course that allows you to learn the basics of data analysis in Python. It starts by teaching you how to set up a Python development environment and utilize Jupyter notebooks.
The course consists of the following three modules:
- Module 1: Hello world (covers Python basics)
- Module 2: Introduction to Pandas
- Module 3: Introduction to PivotTables in Pandas
This course should facilitate you learn the basics of data analysis in Python. Which you can then build on as needed.
To combine: Python certified data analysis
Now that you know the basics of data analysis in Python, it’s time to continue learning and developing your knowledge. Data analysis in Pythonfree certificate from freeCodeCamp will teach you everything about Python’s data science libraries while working on elementary projects.
You will learn to work with Python libraries: NumPy, pandas, matplotlib and Seaborn:
- Jupyter Notebook Basics
- NumPy
- Pandas
- Data cleaning
- Data visualization
- Reading data from various sources
- HTML parsing
The projects you will complete as part of this certificate are:
- Mean variance and standard deviation calculator
- Demographic data analyzer
- Medical Data Visualizer
- Page view time series visualizer
- Sea level forecast
This certificate is completely free. After completing the course, you must complete all projects to apply for the certificate.
To combine: Google Advanced Data Analytics Specialist Certificate
This Google Advanced Data Analytics professional certification will facilitate you dive deeper into data analysis in Python. While also learning statistical concepts and building machine learning models. This specialization also gives you the opportunity to work on a capstone project where you can apply what you’ve learned.
The following courses are offered within this specialization:
- Fundamentals of data science
- Getting Started with Python
- Go beyond the numbers: transform data into insights
- The power of statistics
- Regression Analysis: Simplifying Intricate Data Relationships
- The nuts and bolts of machine learning
- The culmination of advanced Google data analysis
Note:Similar to the Google Data Analytics Professional Certification, you can verify the Google Advanced Data Analytics specialization for free.
To combine: IBM Data Analyst Professional Certificate
The IBM Data Analyst Professional Certificate is another comprehensive specialization in data analytics offered by IBM on Coursera. It will facilitate you learn all the basics and necessary tools to start your career in data analytics.
- Python and SQL basics
- Excel and Tableau
- Working with APIs and web services
- Python Data Science Libraries
The recommended time frame is approximately 4 months with approximately 10 hours of study per week. Below are the courses covered by this Data Analyst Professional Certificate:
- Introduction to Data Analysis
- Excel Data Analysis Basics
- Data visualization and dashboards with Excel and Cognos
- Python for data science, artificial intelligence and development
- Python project for data science
- Databases and SQL for Data Analytics with Python
- Data Visualization with Python
- IBM Data Analyst Final Project
Note:Like other Coursera specializations, you can take this one for free.
I hope you found this list of data science courses helpful. If you’re interested in moving into data science soon, I wish you all the best on your educational journey.
If you’re looking for tips on navigating the data job market, read 7 Reasons Why You’re Having Difficulty Finding a Data Science Job.
Bala Priya C is a software developer and technical writer from India. He likes working at the intersection of mathematics, programming, data analytics and content creation. Her areas of interest and specialization include DevOps, data analytics and natural language processing. She enjoys reading, writing, coding and coffee! He is currently working on learning and sharing his knowledge with the developer community by writing tutorials, guides, reviews, and more. Bala also creates engaging resource overviews and coding tutorials.