Are you a working professional and looking for the best advanced data science courses? If yes, then you are in the right place. In this article, you will find the 7 Best Data Science Courses for Working Professionals.
To gain data science skills, there are numerous courses available. But I have filtered these courses on the following criteria-
Criteria-
- Rating of these Courses.
- Coverage of Topics.
- Engaging trainer and Interesting lectures.
- Number of Students Benefitted.
- Good Reviews from various aggregators and forums.
So, without wasting your time, let’s start finding the Best Data Science Courses for Working Professionals–
Best Data Science Courses for Working Professionals
1. 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. This is an advanced-level program. 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–
- Write a Data Science Blog Post
- Build Disaster Response Pipelines with Figure Eight
- Design a Recommendation Engine with IBM
- Data Science Capstone Project
Interested to Enroll?
If yes, then check out the details here- Become a Data Scientist Program
2. 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 Machine Learning algorithms. It focuses on how to use these algorithms in Python.
If you want to learn Statistics, then first consider the Statistics with Python Specialization to learn essential Statistical skills required for data science. This Specialization Program has 5 Courses-
Courses include-
- Introduction to Data Science in Python
- Applied Plotting, Charting & Data Representation in Python
- Applied Machine Learning in Python
- Applied Text Mining in Python
- Applied Social Network Analysis in Python
Extra Benefits-
- You will earn a Shareable Certificate.
- Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.
Who Should Enroll?
- This program is not for Beginners. This is good for those who have Intermediate level knowledge in Data Science.
- And those who have a basic python or programming knowledge.
Interested to Enroll?
If yes, then check out the details here- Applied Data Science with Python Specialization
3. 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 the 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.
Courses Include-
- Python for Data Science
- Probability & Statistics in Data Science using Python
- Machine Learning Fundamentals
- Big data Analytics using Spark
Who Should Enroll?
- Those who are familiar with any programming languages and has basic understanding of high-school level math.
Interested to Enroll?
If yes, then check out the program details here- MicroMasters® Program inData Science
4. Data Science Specialization– Coursera
Provider- Johns Hopkins University
Rating– 4.5/5
Time to Complete- 11 months (7 hours per week)
This is also one of the most highly rated and enrolled course series. In this course series, there is a separate section on statistics. And Knowledge of Statistics is mandatory for Data Science. You will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data.
You will also learn regression analysis and special cases of the regression model, ANOVA, and ANCOVA. Then you will learn machine learning basics and how to create a data product.
This Data Science specialization Program is the perfect mixture of theory and practical applications. R programming language is used for all Data Science related tasks. In this specialization program, there are 10 courses.
Courses Details-
- The Data Scientist’s Toolbox
- R Programming
- Getting and Cleaning Data
- Exploratory Data Analysis
- Reproducible Research
- Statistical Inference
- Regression Models
- Practical Machine Learning
- Developing Data Products
- Data Science Capstone
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, Graded Programming Assignments.
Who Should Enroll?
- Those who have previous working knowledge in any programming language.
Interested to Enroll?
If yes, then check out the details here- Data Science Specialization
5. 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, and 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 previous programming experience in any language and want to learn Data science with Python.
Interested to Enroll?
If yes, then check here- Python for Data Science and Machine Learning Bootcamp
6. Data Scientist Masters Program– Edureka
Provider– Edureka
Rating- 4.4/5
This Data Scientist Masters Program includes training in Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow, and Tableau. This Masters Program covers almost every topic in Data Science. And it has 12 courses.
Courses Include-
- Python Statistics for Data Science Course
- R Statistics for Data Science Course
- Data Science Certification Training
- Python Certification Training for Data Science
- Apache Spark and Scala Certification Training
- AI & Deep Learning with TensorFlow
- Tableau Training & Certification
- Data Science Master Program Capstone Project
Along with that, there are some FREE Elective Courses-
- SQL Essentials Training & Certification
- R Programming Certification Training
- Python Programming Certification Training
- Scala Essentials
- MongoDB® Training And Certification
Extra Benefits-
- You will get a Masters’s Course Certification.
- You will get lifetime access to presentations, quizzes, installation guides.
- Along with that, you will get a Personal Learning Manager who will answer all your queries.
Who should Enroll?
- Anyone can enroll, whether you are an experienced professional, working in the IT industry, or an aspirant planning to enter the world of Data scientists.
Interested to Enroll?
If yes, then check it out here- Data Scientist Masters Program
7. Advanced Statistics for Data Science Specialization-Coursera
Rating- 4.5/5
Provider- Johns Hopkins University
Time to Complete- 5 months( If you spend 2 hrs/week)
This is an advanced-level specialization program for data science. In this program, you will learn the advanced concepts of statistics and understand the behind-the-scenes mechanism of key modeling tools in data science, like least squares and linear regression.
In this course, you will get a firm foundation in the linear algebraic treatment of regression modeling, which will greatly augment applied data scientists’ general understanding of regression models. There are 4 Courses in this Specialization.
Courses Details-
- Mathematical Biostatistics Boot Camp 1
- Mathematical Biostatistics Boot Camp 2
- Advanced Linear Models for Data Science 1: Least Squares
- Advanced Linear Models for Data Science 2: Statistical Linear Models
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, Graded Programming Assignments.
Who Should Enroll?
- Those who have previous knowledge in basic calculus and linear algebra.
Interested to Enroll?
If yes, then check out the details here- Advanced Statistics for Data Science Specialization
And here the list ends. I hope these Best Data Science Courses for Working Professionals 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 7 Best Data Science Courses for Working Professionals. If you have any doubt or questions, feel free to ask me in the comment section.
All the Best!
Enjoy Learning!
NOTE- Some of the links in the post are Affiliate Links. This means if you click on the link and purchase the course, I will receive an affiliate commission at no extra cost to you😊.
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