Top 11 Data Science Courses For Free and Paid Certifications

This guides covers the list of top data science courses which are free and paid to take your data skills levels from a beginner to expert by learning real world projects.

As the world becomes more technologically advanced, Data Science becomes more and more important with every passing day. Data Science courses are giving more importance day by day for saving information.

Mainly Data Science uses machine learning, deep learning, and Artificial Intelligence to compile piles of data to predict patterns or relevant answers. As a matter of fact, no matter what field you are in, data science has immense application in almost all sectors.

From scientific innovations and space research to share markets, people use data science techniques to achieve better results. Therefore, it also provides excellent career opportunities too. 

Nevertheless, you will require having proper certification to establish a career in the field of data science. But what courses do you certainly need to take to get your dream career? Well, read our article to find out. 

List of Best Data Science Courses:

1. Data Science A-Z™: Real-Life Data Science Exercises Included

1. Provider: Udemy
2. Course Content: 28 Sections| 217 lectures| 21 Hours 18 minutes
3. Course Instructor: KirilEremenko, SuperDataScience Team
4. Type of Certification: Upon Course completion
5. Pricing: $7
6. Student Ratings: 4.5 (29000+ Ratings)

Perfect for anyone with interest in data science or data mining, this course is very hands-on and takes a practical approach to teach different data science techniques. With this course, you will get firsthand experience of all the troubles that a data scientist faces while going through a large pile of data. Thus, it prepares you for a better future. Upon finishing this course, you will gain an in-depth knowledge of different tools like SQL, SSIS, Gretl and Tableau. Thus, you will clearly understand how you can use these tools to your advantage. Finally, you will understand how to clean your data to make it appropriate for analysis along with basic visualization techniques. 

Features:

1. You will learn how to model your data.
2. It will also teach you how to curve-fit the data and present your findings. 

2. Data Science Specialisation

1. Provider: Coursera
2. Course Content: 10 Courses| 11 months to complete
3. Course Instructor: Jeff Leek, Roger D Peng, Brian Caffo
4. Type of Certification: Upon Course completion
5. Pricing: Free Enrolment
6. Student Ratings: 4.5 (37000+ Ratings)

Offered by the John Hopkins University, this course is instructed by a team of three professors in Biostatics from the university. The best thing about this course is the fact that it is actually different from the other courses. A specialization program, it is actually made up of 10 individual courses. Thus, you will learn from the basics of Data Science and analysis while going up the ladder to doing actual work in the field. 

At the end of this course, you will be given a project where you will have to work with real-world data in order to prove your mastery of the subject. Lastly, this course seriously builds your skills and allows you to be fluent in this domain. 

Features:

• Apart from learning basic concepts, the course will also teach you to work with different regression models. 
• You will certainly get to learn machine learning and master the art of developing different data products.

3. IBM Data Science Professional Certificate

1. Provider: Coursera
2. Course Content: 9 Courses| 10 months to complete
3. Course Instructor: Alex Aklson and IBM Data Science Team
4. Type of Certification: Upon Course completion
5. Pricing: Free Enrolment
6. Student Rating: 4.6 (47000+ ratings)

Here you indeed have another excellent data science course from Coursera. This is a professional certification course offered by IBM. In this course, you will get a concrete idea on what Data Science is and how it works. With the help of this course, you will be able to understand what methodologies a data scientist uses and how to approach your data and work with it. Most importantly, you will also be able to develop your skills on using different tools, libraries as well as languages that professional data scientists use to work with their data. 

Features:

• You will be able to import as well as clean data sets as per your requirement. 
• The course will also help you to learn how to analyze as well as visualize your data. 
• Furthermore, you will be able to build as well as evaluate different models of machine learning as well as pipelines using python. 

4. MicroMasters Program in Statistics and Data Science

1. Provider: Edx.org
2. Course Content: 1 Year 2 Months| 10-14 Hrs Per week
3. Course Instructor: MITx Instructors
4. Type of Certification: Upon Course completion
5. Pricing: $1360

As a matter of fact, this is a graduate-level course in Data Science offered by the famed MIT Data Science team. If you have an understanding of Data Science then you may know that it has a deep relationship with probability and statistics. Data Science models are usually used to predict the outcome after analyzing tons of data which cannot be analysed manually. Thus, with this course, you will be able to master and fortify your foundations on data science, machine learning and statistics. Upon completing this course, you will be able to easily analyse big data and build probabilistic models to make data-driven predictions. 

Features:

• Upon completing this course, you will be able to easily apply for advanced studies in reputed colleges.
• With this certification, you will be able to get placed in top companies as you acquire complex data analysis skills. 

5. Deep Learning Specialization

1. Provider: Coursera
2. Course Content: 5 Courses| 4 months to complete
3. Course Instructor: Instructors from deeplearning.ai
4. Type of Certification: Upon Course completion
5. Pricing: Free Enrolment

AI is being used extensively nowadays in different sectors to analyse data and predict models. If you want to establish a career in deep learning and AI then this intermediate-level course is perfect for you. In this certification course, you will learn how to build neural networks apart from running successful machine learning projects. You will also come to learn about convolutional networks, LSTMs, RNNs, Dropout, Adam, Xavier/ He initialization and BatchNorm. Most importantly, you will not only learn theories but also learn how to use different techniques in real life too. 

Features:

• You will get mastery on the TensorFlow package in Python. 
• Plus, you will certainly be able to build sequence models to analyse data. 

6. Learn Data Science Online

1. Provider: Coursera
2. Course Content: More than 50 courses related to Data Science | More than 100 hours
3. Course Instructor: More than 10 instructors from top Universities
4. Type of Certification: Depend on each course
5. Pricing: Free and Paid

Firstly, Datacamp allows you to learn data science and apply these skills in real life to advance your career. With more than 330+ interactive courses available, they provide you with video learning material along with several exercises. Furthermore, you will be able to take anytime anywhere as it fits your schedule.

7. Applied Data Science with Python Specialization

1. Provider: Coursera
2. Course Content: 5 Courses| 5 months to complete
3. Course Instructor: Instructors from the University of Michigan
4. Type of Certification: Upon Course completion
5. Pricing: Free Enrolment

Offered by the University of Michigan, this is an excellent intermediate-level course that you can opt for if you want to have a successful career in Data Science. With this course, you will learn how to conduct the inferential statistical analysis of data. More importantly, you will become profound in using different python tools and packages like Numpy, Matplotlib and others. Finally, you will be able to analyse the connectivity of social networks while grooming your data mining skills. 

Features:

• After completing this course, you will be able to discern whether a data visualization is good or bad. 
• You will also learn how to enhance your data analysis with machine learning. 

8. Data Science Courses

1. Provider: Edx
2. Course Content: 4 Courses| 10-15Weeks per course
3. Course Instructor: Instructors from Curtin University and Rochester Institute of Technology
4. Type of Certification: Upon Course completion
5. Pricing: $1260

As a matter of fact, this is a special program that comprises of the best graduate-level courses from top universities. The courses in this program have been designed in such a manner that they advance your career in the field of data science. Furthermore, it highlights your skills to the employers and makes you highly skilled as well as easily employable. Plus, it will also help you to get an advanced degree in data science from top universities. 

Features:

• You will learn to load as well as clean real-world data. 
• Also, you will be able to use machine learning models to analyze data.
• Moreover, you will become profound in visualizing complex data.

9. Online Master’s in Data Science

1. Provider: Coursera
2. Course Content: Master Degree
3. Course Instructor: More than 5 instructors
4. Type of Certification: Upon Course completion
5. Pricing: Varies for different courses

As data science becomes widely important in different fields, the demand for capable data scientists has increased rapidly. So, you can boost your career easily by getting a masters degree from top universities online. Coursera offers online master’s degree from universities like University of Illinois Champaign Urbana, University of Michigan, Higher School of Education from Russia, Imperial College of London and the University of Colorado Boulder. Choose the one you like and have a wonderful career.

10. The Data Science Course 2020: Complete Data Science Bootcamp

1. Provider: Udemy
2. Course Content: 28.5 Hours| 90 Articles| 154 downloadable resources
3. Course Instructor: 365 Careers Team
4. Type of Certification: Upon Course completion
5. Pricing: $7

This course provides you with all the tools that you will need to become a successful data scientist. You will learn different techniques in mathematics that you need to use in machine learning. You will also be able to create both linear as well as logistic regression models. Moreover, this course will also enable you to use NumPy, scikit-learn and stats model to create machine learning algorithms in python. It will also enable you to learn how to use the best deep learning frameworks like that of Google’s Tensorflow. 

Features:

• You will be able to build deep neural networks. 
• Moreover, you will also be able to improve machine learning algorithms by using n-point validation, overfitting, underfitting and others. 
• The course will also teach you how to carry out a cluster as well as factor analysis.

11.  Data Science Courses

1. Provider: Udacity
2. Course Content: more than 50 hours
3. Course Instructor: more than 10 instructors
4. Type of Certification: Upon Course completion
5. Pricing: Varies for different courses

You can obviously boost your employability and become a successful data scientist with one or multiple nano degrees in data science from Udacity. Based on what career path you choose, the data science courses have been segregated in the form of Data analyst, Data engineer, data scientist, and business analyst. You can decide what you want to be and pursue the suggested courses in data science to become successful in your career. You can see the roadmap for Data Science here.

After learning the concepts of Data Science, you have to work on the latest real-world projects

Frequently Asked Data Science Questions: