e27 works to pick out the best classes for our readers and the startup community. We do have an affiliate partnership with Udemy and get a share of the revenue for any purchases, which go back into helping us continue creating amazing content for you

Nobody is going to jump online, attend a few courses and suddenly change their resume from BD Professional to Data Scientist, but understanding how data science works can be incredibly useful for getting an edge at work.

Learning how to gather, analyse and exploit data is not something everyone can do. As work becomes more digitalised, learning the basics of Data Science is an incredibly useful skillset.

We at e27 went through the courses on Udemy to try and pull out the best Data Science courses for people looking to fine tune their abilities.

Introduction to Data Science

Description: An overview of modern data science: the practice of obtaining, exploring, modeling, and interpreting data.

What you will learn: This is probably the best one to start with for people who don’t really understand what data scientists do. This shows students the tools (like Python and SQL) and how it integrates into a business.

It teaches students how to explore and manipulate data and techniques for presenting projects.

Data Science A-Z

Description: Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!

What you will learn: This course looks like an excellent 101 to data analytics that helps people get up to speed on using Tableau, operate Microsoft Visual Studio Shelland use SQL to mine and clean data. Furthermore, it will teach students how to create a linear regression model, read a confusion matrix and handle false positives.

Plus, all the software used in the course is available for free or on a trial.

Tableau 10 A-Z: Hands-On Tableau Training For Data Science!

Description: Learn Tableau 10 for Data Science step-by-step. Real-Life Data Analytics Exercises & Quizzes Included. Learn by doing!

What you will learn: Tableau has become an almost-essential part of the internet economy. It is crucial for helping people understand their data and make decisions based on their consumers. This course gets people from zero to advanced. If your company is starting to use Tableau, this might be essential learning for any employee.

Effective Data Visualization

Description: Through design principles drawn from graphic design, visual art, perceptual psychology, and cognitive science

What you will learn: There is not point in having mountains of data if nobody can read the information. This course teaches people the fundamentals of design visualisation, how to explore and analyse information and ways to simplify the numbers. This course is good for analysts, journalists and marketing professionals.

Applied Data Science with Python

Description: Learn how to execute an end-to-end data science project and deliver business results

What you will learn: Python is the fundamental coding language of data science and this is a good course for beginners to start using the code to build algorithms. The course takes people through end-to-end case studies of how to apply Python to the subject. For people who understand Python, but not how to apply it to Data Science, this is a great course.

Statistics for Data Analysis Using R

Description: Learn Programming in R & R Studio; Descriptive, Inferential Statistics; Plots for Data Visualisation; Data Science

What you will learn: R is a language designed for computer statistics that helps with complex calculations. It helps with linear and non-linear modelling, statistical tests, clustering and series analysis. This course explains basic statistical theories and then teaches people how to use R to find the solutions.

Python for Data Science and Machine Learning Bootcamp

Description: Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!

What you will learn:This is not for the feint of heart. This class is designed for people who understand programming and want to use Data Science to get their foot in the door at a company. No, taking this course won’t turn you into a Data Science, but understanding the concepts taught in this course may help get an entry-level engineering job at a reputable company.

The Python Mega Course: Build 10 Real World Applications

Description:The only Python course covering web, databases, web scraping, data science, web visualizations, image processing & more!

What you will learn: Some people learn by doing, and this course teaches people Python by making them build products. It is designed for everyone and students will build the following:

  • A program that blocks access to distracting websites
  • A web map visualizing volcano locations and population data
  • A portfolio website
  • A desktop graphical program that interacts with a database
  • A webcam motion detector
  • A web scraper of property data
  • An interactive web graph
  • A database web application to collect data
  • A web service that converts addresses to coordinates

SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL

Description:Learn Both SQL Server & PostgreSQL By Doing. Enhance Your Data Analytics Career With Real World Data Science Exercises

What you will learn: The other language synonymous with Data Science is SQL. It is a very useful tool for mining information and sifting through large, unorganised, quantities of information to find something useful. This course helps people create basic SQL queries, normalise databases, understand design and perform more advanced tasks. SQL is super important for data analysis and this is a good place to start.

Statistics for Business Analytics A-Z

Description: Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!

What you will learn: This course might be best for the CEO-type of people in a company. Rather than diving into the math of Data Science, this is all about the math. For people who want to learn about Normal Distribution, standard deviations and p-Values this is the best course. Think of it as taking a high school math class and applying it to business.

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