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Best Data Science Courses

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Best Data Science Courses

Are you looking to pursue a career as a data scientist? Are you looking for Data Science courses online for enrollment?

Data science has a wide range of career opportunities. Its field is so vast that one can earn a high pay scale if they choose the correct field according to their expertise. 

If you are seeking a career in data science then it is essential that you know Python and its application as well as other scientific uses. 

To help you find the perfect data science course designed for your comfortable understanding and schedule, we’ve researched and combined a list of all the prominent online courses that provide top-notch data science education. 

Nonetheless, these courses can be accessed by beginners as well as advanced programmers who are looking to brush up on their existing knowledge. 

Let’s get started to know more!

Master Python for Data Science:

Master Python for Data Science is available for all kinds of learners, irrespective of their educational background or lack of basic Python knowledge. 

This course can be accessed through LinkedIn. Users also get a free trial for a month

Master Python for Data Science has a total of 10 courses which is approximately 29 hours of content

These courses are instructed by data science specialists like Joe Marini, Miki Tebeka, Bill Weinman, Lilian Pierson, Michelle Vallisneri, Ben Sullins, Michael Galarnyk, and others. 

They are well versed with the advancement of science and technology with decades of experience in various reputed organizations and companies. 

These instructors make sure that you learn all the basic programming principles as well as advanced Python topics that can be used in the development of data science related technologies.  

On the completion of this course, you will receive a certificate that will highlight the knowledge and skill of Python that you’ve gained through the course. 

This certificate will also help you to get a well-paying job as well as other opportunities that can enhance your career. 

Topics Covered:

  1. Learning Python 
  2. Data Ingestion with Python
  3. Python Essential Training 
  4. Python Essential Training Part I
  5. Python Essential Training Part II
  6. Data Science Foundations : Python Scientific Stack
  7. Python Data Analysis
  8. Python for Data Science Tips, Tricks and Techniques
  9. Python for Data Visualization
  10. Python Statistics Essential Training

Master SQL for Data Science:

Master SQL for Data Science is a program offered by LinkedIn for aspiring learners who want to understand the fundamentals and applications of SQL to proceed with data science. 

Bill Weinman, Scott Simpson, Emma Saunders, Dan Sullivan, and Ben Sullins are the instructors of this course. 

They will guide and teach you about the application of SQL in data science and related fields, developing relevant skill sets and using the knowledge gained throughout the course to construct various data science tools. 

If you are interested to learn more about SQL then this can be the right space for you as LinkedIn provides a free trial of one month. 

After successful completion of the entire Master SQL for Data Science course, you will get a certificate that you can use on your resume or CV for attractive job opportunities. 

Topics Covered:

  1. SQL essential training 
  2. Learning SQL programming
  3. SQL : Data Reporting and Analysis
  4. Advanced SQL for Data Scientists
  5. SQL Tips, Tricks and Techniques
  6. Presto Essentials : Data Science

Master R for Data Science:

Master R for Data Science is a program offered by LinkedIn to learners who wish to learn and understand the various concepts of R as it’s a data science specific language. 

Along with it, you will also get to know the uses of R in Excel and Tableau as well as social network analysis. 

Experts like Barton Poulson, Mark Neimann-Ross, Mike Chapple, Curtis Frye, Ben Sullins and Conrad Carlberg are the R programming instructors of this course. 

If you are interested to learn further about R and its application in data science fields then this can be the right space for you as LinkedIn provides a free trial of one month. 

After successful completion of the entire course, you will get a certificate that you can use on your resume or CV for attractive job opportunities. 

Along with this, this course also officially serves as an academic credit at several global universities that have been tied up with LinkedIn. This will enhance the academic portfolio of students. 

Topics Covered:

  1. Learning R 
  2. Code Clinic : R
  3. Data Wrangling in R (2017)
  4. R Essential Training : Wrangling and Visualizing Data
  5. Social Network Analysis using R
  6. R programming in Data Science Setup and Start
  7. Integrating Tableau and R for Data Science
  8. R for Excel Users
  9. Logistic Regression in R and Excel

Level:

Each course is structured for different types of learners (beginners, intermediates and advanced learners).

Become a Machine Learning Specialist:

Become a Machine Learning Specialist is a program offered by LinkedIn for upcoming machine learning experts who wish to understand the fundamentals and applications of machine learning algorithms.

This course will develop your skill sets as a machine learning analyst as you will know how to design the algorithms by yourself. 

Keith McCormick, Lillian Pierson, Adam Geitgey and Dan Sullivan are the expert instructors of this course

They will teach several important features of machine learning like the concepts and techniques needed for designing machine learning algorithms, working and building recommendation systems as well as designing machine solutions for different applications. 

Upon successful completion of the entire course, you will get a certificate that you can use on your resume or CV for job opportunities. 

Topics Covered:

Become a Machine Learning Specialist covers the following courses – 

  1. Machine Learning and AI Foundations: Decision Trees
  2. Deploying Scalable Machine Learning for Data Science
  3. Building a Recommendation System with Python Machine Learning & AI
  4. Machine Learning and AI Foundations: Clustering and Association
  5. Machine Learning & AI: Advanced Decision Trees
  6. Machine Learning and AI Foundations: Classification Modeling
  7. Machine Learning and AI Foundations: Value Estimations
  8. Machine Learning & AI Foundations: Linear Regression
  9. Machine Learning and AI Foundations: Recommendations

Master Excel for Data Science:

Master Excel for Data Science is a program offered by LinkedIn to learners who wish to learn and understand how advanced Excel works in the realm of data science. 

This course is highly beneficial for non-data scientists who are looking for ways to apply Excel knowledge in applications and tools related to data science. 

If you are interested to learn about statistics functions in Excel, data analytics and modelling capabilities of Excel as well as understanding ways on how to work with R, a tool for advanced data work, then this course is for you. 

Expert instructors like Joseph Schmuller, Dennis Taylor, Curtis Frye, and Conrad Carlberg will provide classes and guide you during the entire course. 

If you are interested in this course, then you can access it through LinkedIn. You will also get a LinkedIn one month free trial to pursue the course. 

On the completion of this Master Excel for Data Science course, you will receive a certificate that will highlight the knowledge and skill that you’ve gained through the course. 

This certificate will also help you to get a well-paying job as well as other opportunities that can enhance your career. 

Topics Covered:

These are the following topics covered in Master Excel for Data Science – 

  1. Excel Statistics Essential Training : 1
  2. Excel Statistics Essential Training : 2
  3. Excel 2016 : Managing and Analyzing Data
  4. Learning Excel : Data Analysis
  5. Excel 2016 : Data Validation in Depth 
  6. R for Excel Users 
  7. Excel VBA : Managing Files and Data 

Tableau for Data Scientist:

Anyone who is into graphical data visualization probably knows about Tableau. 

If you are one of them then this course can be helpful for you as the course shows the uses and applications of Tableau in data science in various ways. 

Matt Francis is the instructor of this course. He teaches about the differences and impact of discrete and continuous data along with other features like creating engaging platforms, 

Along with it, he teaches about combinations of data from different data sources, creation of varied charts to make sense of data, methods to change the data with calculations, as well as to create interactive maps. 

If you are interested in this course, then you can access it through LinkedIn. You will also get a LinkedIn one month free trial to pursue the course. 

On the completion of this course, you will receive a certificate that will highlight the knowledge and skill that you’ve gained through the course. 

Topics Covered:

These are the following courses – 

  1. Introduction
  2. Green and Blue Fields: What Do They Mean?
  3. Connecting to a Source of Data
  4. Combining Data
  5. When and How to Create Data Extracts
  6. Comparing Measures
  7. Transform Your Data with Calculations
  8. Mapping Your Data
  9. Analytics
  10. Using Parameters for Greater Interaction

Prerequisites:

  • Use of Tableau Desktop version 2020.4 or newer version or Tableau Public 
  • Super Store Sales dataset (may vary depending on the version)

Level:

This course is structured for intermediate learners.

Prepare for your Data Science Interview:

Prepare for your data science interview is created by a joint collaboration between Ben Sullins and Free The Data Academy. 

This job is well suited for those who are seeking to pursue a career as a junior data analyst, engineer, or scientist in the data science field. 

This course prepares the learners well enough to crack an interview related to data science job opportunities and related fields successfully. 

If you are interested in this course, then you can access it through LinkedIn. You will also get a LinkedIn one month free trial to pursue the course. 

After successful completion of the entire Prepare for your data Science course, you will get a certificate that you can use on your resume or other platforms for attractive job opportunities.

Topics Covered:

The course comprises of the following topics – 

  1. Introduction
  2. Preparing for your interview
  3. Interviewing guide and strategy
  4. After the interview

Level:

This course is suited for beginners or freshers who are willing to enter the technological field with a data science-related role.

Become a Data Scientist:

Become a Data Scientist is a program offered by LinkedIn to learners who are already in IT fields or who simply wish to know more and pursue their interest by knowing how data science works. 

This course teaches and guides the learners through all important aspects of data science like statistics and systems engineering, data mining, machine learning and so on. 

Brian Tonsoni, Jungwoo Ryoo, Barton Poulson, Eddie Davila, Jonathan Reichental, Dennis Taylor and Bill Shander are the instructors for this course. 

If you are interested in this Become a Data Scientist course, then you can access it through LinkedIn. You will also get a LinkedIn one month free trial to pursue the course. 

A certificate will be provided after successfully completing the course which may also help you to get a well-paying job as well as other opportunities that can enhance your career. 

Topics Covered:

The following are the courses covered to become a Data Scientist

  1. Bracketology Club: Using March Madness to Learn Data Science
  2. Data Science & Analytics Career Paths & Certifications: First Steps
  3. Data Science Foundations: Fundamentals
  4. Statistics Foundations: The Basics
  5. Learning Data Governance
  6. Data Science Foundations: Data Mining
  7. Excel 2016: Managing and Analyzing Data
  8. Data Visualization: Storytelling

Data Science for Business Leaders:

Data Science for Business Leaders is a joint collaboration between Udacity and Alteryx. 

This course is specifically designed and structured for aspiring businessmen and businesswomen who are willing to kick-start their entrepreneur journey with the help of data science. 

It helps you to learn all the strategic decision-making skills that will be beneficial in generating all kinds of important business aspects for successful execution. 

Some of the topics include strategies and guidelines to solve the human capital, technological, and management challenges through the application of data science in business fields. 

It is estimated to be completed within 1-2 months at 5 hours/week as per its teaching structure. This also provides you with the freedom to learn flexibly at your own comfortable place, pace and time. 

Ed Wiley is the instructor of this Data Science for Business Leaders course. He has over two decades of experience in data science, machine learning, and artificial intelligence. 

He is currently the Chief Technology Officer at Enveda Therapeutics. 

Additionally, there are 1400+ technical mentors who provide technical support on any queries raised related to the course so that you can complete the course easily.

Along with this course, you also get to receive other facilities like real-world projects from industry experts, student community support and career services such as resume support, Github portfolio review and LinkedIn profile. 

These are the following courses covered:

  • Introduction to data science
  • Business case for data science
  • Human capital for data science
  • Data and Machine Learning Infrastructure Strategy
  • CAPSTONE PROJECT : Build a 100-Day Data Plan

You’ll receive a Udacity data science (for business leaders) nano degree certificate upon successful completion of this course.

Prerequisites:

The instructor has advised that it is essential to have relevant knowledge about statistics and probability. 

Prior experience in business decision-making in an IT or technical environment is a huge bonus as this course is an executive program.

Programming for Data Science with R:

Udacity has collaborated with Mode to provide Programming for Data Science with R which is beneficial for students who want to learn and understand the fundamental data programming tools like R, git, SQL and command line. 

It is estimated to be completed within 3 months at 10 hours/week as per its teaching structure. This also provides you with the freedom to learn flexibly at your own comfortable place, pace and time. 

There are 1400+ technical mentors who provide technical support on any doubts or questions raised related to the course for better understanding and easy completion.

Josh Bernhard, Juno Lee, Karl Krueger, Richard Kalehoff and Derek Steer are the data science instructors for this course. 

In addition to the above, you are also entitled to receive real-world projects, project reviews, project feedback from experienced reviewers and content co-created with Mode. 

Another useful privilege is that it also provides career services support such as resume support, Github portfolio review and LinkedIn profile. 

These are the following courses covered:

  • Introduction to SQL
  • Introduction to R Programming
  • Introduction to Version Control

You’ll receive a Udacity data science (with R) nano degree certificate upon successful completion of this course.

Prerequisites: 

There are no prerequisites to learn for enrollment into this course apart from general computer knowledge.

Get amazing offers and special specialized discounts on Programming for Data Science with R Course

Become a Data Scientist:

Become a Data Scientist by Udacity is a course based on becoming a data scientist by learning and applying data science knowledge on aspects like data pipelines, designing experiments, building recommendation systems, and deploying solutions to the cloud.

The course is designed to be completed within an estimated time of 4 months at 10 hours/week. You can learn at your own pace and comfort zone as the schedule is flexible and completely online.

It is a joint collaboration between Udacity and several other companies like Bertelsmann, IBM Watson, Insight, Kaggle, Starbucks and Appen. 

These established big names provide major assistance in getting high paying jobs and other amazing offers. 

Along with this course, you also get to receive other facilities like real-world projects from industry experts, student community support and career services such as resume support, Github portfolio review and LinkedIn profile. 

What’s more? You will learn from experts with decades of experience in data science and related fields at eminent companies. Some of the instructors for this course are Josh Bernhard, Juno Lee, Luis Serrano, Andrew Paster, Mike Yi, David Drummond and Judit Lantos. 

There are 1400+ technical mentors who provide technical support on any queries raised related to the course so that you can complete the course easily.

These are the following courses covered – 

  • Solving Data Science Problems
  • Software Engineering for Data Scientists
  • Data Engineering for Data Scientists
  • Experiment Design and Recommendations
  • Data Science Projects

You’ll receive a Udacity data science nano degree certificate upon successful completion of this course.

Prerequisites:

In order to enroll on this course, it is recommended to have prior knowledge of machine learning concepts such as the Intro to Machine Learning Nanodegree Program. 

This course also demands that the learners who wish to enrol should be well versed with Python programming, probability, and statistics.

Programming for Data Science with Python:

Programming for data science with Python is beneficial for students who want to learn and understand the fundamental data programming tools like Python, git, SQL and command line. It is a joint collaboration between Udacity and Mode. 

The course is designed to be completed within an estimated time of 3 months at 10 hours/week. You can learn at your own pace and comfort zone as the schedule is flexible. 

Josh Bernhard, Derek Steer, Juno Lee, Karl Krueger and Richard Kalehoff are the expert instructors for this course. 

They will ensure that all the topics, irrespective of their level of understanding, are thoroughly understood by the students. 

Additionally, there are 1400+ technical mentors who provide technical support on any queries raised related to the course so that you can complete the course easily. 

With this course, you are also entitled to receive other privileges like real-world projects from industry experts and career services such as resume support, Github portfolio review and LinkedIn profile. 

These are the following courses covered– 

  • Introduction to SQL
  • Introduction to Python Programming
  • Introduction to Version Control

This course is very similar to Programming for data science with R, with only the programming languages being different from one another. 

You’ll receive a Udacity data science (with Python) nano degree certificate upon successful completion of this course. 

Prerequisites: 

There are no prerequisites to learn for enrollment into this course. This adds as a plus point for students who want to directly learn the basics of programming without past experience.

Conclusion : 

There are many more platforms and courses available online to learn data science which may suit your schedule and budget. 

However, this is the complete list of all the best data science courses which we feel are reliable and easy to understand for all types of learners. 

Do you know more? Let us know in the comment section.

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