Top Data Science Courses For Students 2021
Updated: Jan 4
Today’s data science teams are expected to answer any questions. Business demands better prediction and optimization based on real-time insights backed by tools like these.
The data science lifecycle starts with gathering data from relevant sources, cleaning it and putting it in formats that machines can understand. In the next phase, statistical methods and other algorithms are used to find patterns and trends. Then models are programmed and built to predict and forecast; finally, results are interpreted.
Advances in AI, machine learning and automation have raised the standards of data science tools for business. The result is the formation of data science teams — expert data scientists, citizen data scientists, programmers, engineers and business analysts — that extend across business units. The opportunity here is massive.
Here are some online courses to enrol to get started with data science
Online Data Science Courses - Harvard University
Link To Register: https://online-learning.harvard.edu/subject/data-science
Data Science for Everyone
What is data science, why is it so popular, and why did the Harvard Business Review hail it as the “sexiest job of the 21st century”? In this non-technical course, you’ll be introduced to everything you were ever too afraid to ask about this fast-growing and exciting field, without needing to write a single line of code. Through hands-on exercises, you’ll learn about the different data scientist roles, foundational topics like A/B testing, time series analysis, and machine learning, and how data scientists extract knowledge and insights from real-world data. So don’t be put off by the buzzwords. Start learning, gain skills in this hugely in-demand field, and discover why data science is for everyone!
Link To Register: https://learn.datacamp.com/courses/data-science-for-everyone
Data Science Courses
Get started in data science or further your data science training with a range of data science courses, programs and degrees
Link To Register: https://www.futurelearn.com/subjects/science-engineering-and-maths-courses/data-science
Data Science Foundations
When a butterfly flaps its wings what happens? Does it fly away and move on to another flower or is there a spike in the rotation of wind turbines in the British Isles. Learn data science today and enter a world where we work to create order out of the chaos that will blow you away!
Link To Register: https://cognitiveclass.ai/learn/data-science/
The Open Source Data Science Masters
The open-source curriculum for learning Data Science. Foundational in both theory and technologies, the OSDSM breaks down the core competencies necessary to making use of data.
Link To Register: http://datasciencemasters.org/
Introduction to Data Science using Python
Learn Data Science / Machine Learning using Python (Scikit Learn)
Link To Register: https://www.udemy.com/course/introduction-to-data-science-using-python/
Data Science Specialization
Launch Your Career in Data Science. A ten-course introduction to data science developed and taught by leading professors.
Link To Register: https://www.coursera.org/specializations/jhu-data-science
MicroMasters Program in Statistics and Data Science
Anyone can enrol in this MicroMasters program. It is designed for learners who want to acquire sophisticated and rigorous training in data science without leaving their day job but without compromising quality. There is no application process, but college-level calculus and comfort with mathematical reasoning and Python programming are highly recommended if you want to excel.
All the courses of this program are taught by MIT faculty and administered by Institute for Data, Systems, and Society (IDSS), at a similar pace and level of rigour as an on-campus course at MIT. This program brings MIT’s rigorous, high-quality curricula and hands-on learning approach to learners around the world—at scale.
Link To Register: https://micromasters.mit.edu/ds/
Introduction to Data Science - Revised
This free online Introduction to Data Science course from Alison will teach you the basics of data science. You will look into data science processes, receive an introduction to machine learning, and learn about data models for structuring data. You will also be shown how to gain knowledge and insights from data that is both structured and unstructured as well as learn to use scientific methods, processes, algorithms, and data science systems.
Link To Register: https://alison.com/course/introduction-to-data-science-revised
Note: This section includes a lot of Massive Open Online Courses (MOOCs). If you want to enrol in a free version of a MOOC, please select the “Full Course, No Certificate” (edX) or “Audit” (Coursera) option. If you opt to take the course for a certificate/credential, you will be charged.
A Crash Course in Data Science – Massive Open Online Course (MOOC) – Johns Hopkins
Applied Data Science – Massive Open Online Course (MOOC) – IBM
Building a Data Science Team – Massive Open Online Course (MOOC) – Johns Hopkins
Creating Dashboards and Storytelling with Tableau – Massive Open Online Course (MOOC) – UC Davis
Data Science (What is Data Science?) – Massive Open Online Course (MOOC) – IBM
Databases and SQL for Data Science – Massive Open Online Course (MOOC) – IBM
Data Science Ethics – Massive Open Online Course (MOOC) – University of Michigan
Data Science: Linear Regression – Massive Open Online Course (MOOC) – Harvard
Data Science Methodology – Massive Open Online Course (MOOC) – IBM
Data Science: Probability – Massive Open Online Course (MOOC) – Harvard
Data Science: Productivity Tools – Massive Open Online Course (MOOC) – Harvard
Data Science Tools – Massive Open Online Course (MOOC) – IBM
Data Science: Machine Learning – Massive Open Online Course (MOOC) – Harvard
Data Science Math Skills – Massive Open Online Course (MOOC) – Duke University
Data Science: Probability – Massive Open Online Course (MOOC) – Harvard
Data Science: R Basics – Massive Open Online Course (MOOC) – Harvard
Data Science: Visualization – Massive Open Online Course (MOOC) – Harvard
Data Science: Wrangling – Massive Open Online Course (MOOC) – Harvard
Developing Data Products – Massive Open Online Course (MOOC) – Johns Hopkins
Essential Design Principles for Tableau – Massive Open Online Course (MOOC) – UC Davis
Exploratory Data Analysis – Massive Open Online Course (MOOC) – Johns Hopkins
Getting and Cleaning Data – Massive Open Online Course (MOOC) – Johns Hopkins
Inferential Statistics – Massive Open Online Course (MOOC) – University of Amsterdam
Introduction to Big Data – Massive Open Online Course (MOOC) – Microsoft
Introduction to Computational Thinking and Data Science – Massive Open Online Course (MOOC) – Eric Grimson, John Guttag, and Ana Bell, MIT
Introduction to Data Science in Python – Massive Open Online Course (MOOC) – University of Michigan
Introduction to Probability – Massive Open Online Course (MOOC) – Harvard
Introduction to R for Data Science – Massive Open Online Course (MOOC) – Microsoft
Linear Regression and Modeling – Massive Open Online Course (MOOC) – Duke University
Machine Learning – Massive Open Online Course (MOOC) – Andrew Ng, Stanford
Managing Data Analysis – Massive Open Online Course (MOOC) – Johns Hopkins
Open Source Tools for Data Science – Massive Open Online Course (MOOC) – IBM
Practical Machine Learning – Massive Open Online Course (MOOC) – Johns Hopkins
Probability and Statistics in Data Science using Python – Massive Open Online Course (MOOC) – UCSD
Python for Data Science and AI – Massive Open Online Course (MOOC) – IBM
Python Data Structures – Massive Open Online Course (MOOC) – University of Michigan
R Programming – Massive Open Online Course (MOOC) – Johns Hopkins
Reproducible Research – Massive Open Online Course (MOOC) – Johns Hopkins
Statistics and R – Massive Open Online Course (MOOC) – Harvard
The Data Scientist’s Toolbox – Massive Open Online Course (MOOC) – Johns Hopkins