10 Best Intermediate Data Science Courses You Must Know in 2024

Are you looking for Best Intermediate Data Science Courses? If yes, then this article is for you. In this article, you will find the 10 Best Intermediate Data Science Courses.

To gain data science skills, there are numerous courses available. But I have filtered these courses on the following criteria-

Criteria-

1. Rating of these Courses.
2. Coverage of Topics.
3. Engaging trainer and Interesting lectures.
4. Number of Students Benefitted.
5. Good Reviews from various aggregators and forums.

So, without wasting your time, let’s start finding the Best Intermediate Data Science Courses.

Best Intermediate Data Science Courses

1. Applied Data Science with Python Specialization– Coursera

Provider- University of Michigan

Rating- 4.5/5

Time to Complete- 5 months ( 7 hours per week)

This specialization program teaches data science through the python programming language. You will get a strong introduction to data science Python libraries, like matplotlib, pandas, nltk, scikit-learn, and networkx.

This course series doesn’t include Statistics needed for Data Science and various Machine Learning algorithms. It only focuses on how to use these algorithms in Python.

If you want to learn Statistics first, then consider the Statistics with Python Specialization. In Statistics with Python Specialization, you will learn important Statistical skills that are required for data science.

Extra Benefits-

1. You will earn a Shareable Certificate.
2. Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Who Should Enroll?

1. This program is not for Beginners. Those who have Intermediate level knowledge in Data Science can Enroll in this program.
2. Or those who have basic python or programming knowledge.

Interested to Enroll?

If yes, then check out all details here- Applied Data Science with Python Specialization

2. Become a Data Scientist– Udacity

Rating- 4.7/5

Time to Complete- 4 months( If you spend 10 hrs/week)

This is a Nano-Degree Program offered by Udacity.  In this program, you will learn how to solve Data Science Problems using Python Programming, Software Engineering Skills, and Data Engineering skills.

The Udacity Data Science Nanodegree program is more practical than other courses. The content of this Nanodegree program is advanced and updated, combined with Real-World problems created by the leaders in the industry. Throughout the Nanaodegree program, you will work on the following 4 different projects–

1. Write a Data Science Blog Post
2. Build Disaster Response Pipelines with Figure Eight
3. Design a Recommendation Engine with IBM
4. Data Science Capstone Project

Extra Benefits-

• You will get a chance to work on real-world projects with industry experts.
• You will get Project feedback from experienced reviewers.
• You will also get Technical mentor support.

Who Should Enroll?

Those who are planning to switch their career to Data Science and are comfortable with the following concepts-

• Python programming, including common data analysis libraries (NumPy, pandas, Matplotlib).
• SQL programming
• Statistics (Descriptive and Inferential)
• Calculus
• Linear Algebra
• Experience wrangling and visualizing data

Interested to Enroll?

If yes, then check out the details here- Become a Data Scientist Program

3. Data Science: Foundations using R Specialization– Coursera

Rating- 4.6/5

Provider- Johns Hopkins University

Time to Complete- 5 months (If you spend 8 hours/week)

This is a specialization program offered by Johns Hopkins University. This specialization program will teach you foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research.

You will learn in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. You will also learn some of the common multivariate statistical techniques used to visualize high-dimensional data. In this specialization program, there are 5 courses.

Courses Details-

1. The Data Scientist’s Toolbox
2. R Programming
3. Getting and Cleaning Data
4. Exploratory Data Analysis
5. Reproducible Research

Extra Benefits-

• You will earn Shareable Specialization and Course Certificates.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Who Should Enroll?

• Those who have some programming experience in any language and have some working knowledge of mathematics up to algebra.

Interested to Enroll?

If yes, then check out the details here- Data Science: Foundations using R Specialization

4. Python for Data Science and Machine Learning Bootcamp– Udemy

Rating- 4.6/5

Time to Complete- 25 hours

This is one of the best Udemy courses on Data Science with Python. In this course, you will learn how to program with Python, how to create data visualizations, and how to use Machine Learning with Python. You will also learn about Python libraries such as NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, etc.

Along with that, you will learn machine learning algorithms including Linear Regression, K Nearest Neighbors, K Means Clustering, Decision Trees, Random Forests, Natural Language Processing, Neural Nets, Deep Learning, Support Vector Machines, etc.

Extra Benefits-

• You will get a Certificate of completion.
• Along with that, you will get 5 downloadable resources and Lifetime access to the course material.

Who Should Enroll?

• Those who have some programming experience and want to learn Data Science with Python.

Interested to Enroll?

If yes, then check it out here-  Python for Data Science and Machine Learning Bootcamp

5. Statistics with Python Specialization– Coursera

Rating- 4.5/5

Provider- University of Michigan

Time to Complete- 3 months

This specialization program is especially dedicated to statistics. In this program, you will learn basic and intermediate concepts of statistical analysis using the Python programming language.

In this program, you will learn all important concepts like- where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. Along with that, you will work on a variety of assignments that will help you to check your knowledge and ability. 

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with this, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Who Should Enroll?

• Those who have Knowledge of basic Python and High school-level algebra.

Interested to Enroll?

If yes, then check it out here- Statistics with Python Specialization

6. Intermediate R– DataCamp

Provider- DataCamp

Rating- 4.5/5

Time to Complete- 6 Hours

In the Intermediate R course, you will learn how to make your R programming better. You’ll discover if-else statements, loops, and functions to power up your R scripts. Then, you’ll explore apply functions to make your code work smoother.

In the utilities part, you’ll become skilled at finding patterns, organizing data better, and dealing with dates and times in R. By the end, you’ll feel more confident and skilled in R programming. This course is for you if you know a bit about R and want to get even better at it.

Who Should Enroll?

1. Those who know basics of R programming.

Interested to Enroll?

If yes, then check out all details here- Intermediate R

7. Intermediate SQL– DataCamp

Provider- DataCamp

Rating- 4.7/5

Time to Complete- 4 hours

In this course, you will learn about SQL, the language that helps you understand data in databases. You’ll use a movie database to learn:

• Finding and Comparing Data: Discover how to find and compare information easily.
• Summing Up Data with Aggregate Functions: Learn to see the big picture by adding up data.
• Organizing and Grouping Data: Figure out how to group and organize data for better understanding.
• Making Data Look Nice: Use tricks like rounding and aliasing to make your data look better.

You’ll practice each step with hands-on exercises. By the end, you’ll know how to use your own SQL code to understand data.

Who Should Enroll?

• Those who have previous knowledge of basic SQL.

Interested to Enroll?

If yes, then check out the details here- Intermediate SQL

8. MicroMasters^® Program inData Science– edX

Provider- UCSanDiego

Time to Complete- 10 months (9-11 hours per week)

In this program, you will learn the mathematical and computational tools that form the basis of data science. You will also learn how to use those tools to make data-driven business recommendations.

This program has two sides to data science learning- mathematical and applied.

In the mathematics course, you will learn probability, statistics, and machine learning. And in applied, you will get to know about Python, Numpy, Matplotlib, pandas and Scipy, the Jupyter notebook environment, and Apache Spark.

This program has 4 courses. Now let’s see the details of the courses-

Courses Include-

1. Python for Data Science
2. Probability & Statistics in Data Science using Python
3. Machine Learning Fundamentals
4. Big data analytics using Spark

Who Should Enroll?

• Those who are familiar with programming languages and have a basic understanding of high-school-level math.

Interested to Enroll?

If yes, then check out the program details here- MicroMasters^® Program inData Science

9. Data Engineering, Big Data, and Machine Learning on GCP Specialization– Coursera

Provider- Google Cloud

Rating- 4.5/5

Time to Complete- 2 months ( 12 hours per week)

This Specialization program offered by Google Cloud gives a hands-on introduction to designing and building data pipelines on the Google Cloud Platform. It is combined with presentations, demos, and hands-on labs.

Skills Gain-

1. How to design and build data pipelines on the Google Cloud Platform?
2. How to Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.
3. You will learn Process batch and streaming data.
4. How to manage your data Pipelines with Data Fusion and Cloud Composer.
5. You will learn how to derive business insights from extremely large datasets using Google BigQuery.

Courses include-

This Specialization Program consists of 5 Courses-

1. Google Cloud Platform Big Data and Machine Learning Fundamentals
2. Modernizing Data Lakes and Data Warehouses with GCP
3. Building Batch Data Pipelines on GCP
4. Building Resilient Streaming Analytics Systems on GCP
5. Smart Analytics, Machine Learning, and AI on GCP

Extra Benefits-

1. You will earn a Shareable Certificate.
2. Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments.

Who Should Enroll?

1. Those who have Intermediate level knowledge in Data Science.

Interested to Enroll?

If yes, then check out all the details here-Data Engineering, Big Data, and Machine Learning on GCP Specialization

10. Intermediate Python– DataCamp

Rating- 4.6/5

Provider- DataCamp

Time to Complete- 4 Hours

This course is your next step in getting better at Python, especially if you’re into data science. In just four hours, you’ll learn useful stuff to handle real data more efficiently.

First, find out about Python dictionaries and pandas for working with data tables. You’ll practice creating and changing datasets to build your confidence.

In the second part, explore Python Boolean logic, control flow, and loops. These are like tools to help you make decisions and do different things with your data. You’ll finish by using your new skills in hacker statistics to figure out the chances of winning a bet.

Once you finish, you’ll be all set to use your improved Python skills at work, for a new job, or on personal projects.

Who Should Enroll?

• Those who know Python basics.

Interested to Enroll?

If yes, then check out the details here- Intermediate Python

And here the list ends. I hope these 10 Best Intermediate Data Science Courses will definitely help you. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

In this article, I tried to cover the 10 Best Intermediate Data Science Courses. If you have any doubt or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

Explore More about Data Science, Visit Here

Though of the Day…

‘ It’s what you learn after you know it all that counts.’

– John Wooden