7 BEST FREE ONLINE DATA SCIENCE COURSES IN 2020

7 BEST FREE ONLINE DATA SCIENCE COURSES IN 2020

 

Are you looking for Free Data Science courses? Here you will know about free and top-rated Free Data Science courses. And you will Learn the most demanded skills for free and Power ahead in your career.

How you can enroll 7 Free Data Science courses with certificate? And you will get free certificate after completing the free Free Data Science courses. All courses are really beneficial and you all should do these Free Data Science courses. Through this article, you will know how you can enroll 7 Free Data Science courses and Certificate absolutely free.

ELIGIBILITY CRITERIA

  • Anyone can enroll these 7 Free Data Science courses with certificate.

WHAT ARE THE BENEFITS?

  • Free registration.
  • Get a free certificate after Course completion.
  • You can share the certificate in your LinkedIn profile.
  • Discussion.
  • And more…

What are the 7 Free Data Science courses?

  1. Introduction to R
  2. Statistical Methods for Decision Making
  3. Predictive Modeling and Analytics
  4. Data Visualization using Tableau
  5. Analytics on SAS
  6. Data Science Foundations
  7. Basics of Exploratory data analysis

1. Introduction to R

 

The (Introduction to R) R is a statistical and graphical programming language which is very popular in data analysts. This is free and works on a variety of platforms including Windows, Unix, and mac OS.

  • Skill level: Beginner
  • Rating: 4.56

What you will Learn?

  • R commands
  • R packages
  • R functions
  • Debug
  • profile R code

ENROLL FOR FREE

2. Statistical Methods for Decision Making

 

Here, in this course You will learn Statistical Approaches for Decision Making (SMDM) that, how to use statistics to help take a real-world problem and apply various techniques to make effective business decisions.

  • Skill level: Intermediate
  • Rating: 4.56

What you will Learn?

  • Dispersion
  • Variation
  • Correlation
  • Hypothesis Testing
  • Probability Distributions
  • Measures of Central Tendency

ENROLL FOR FREE

3. Predictive Modeling and Analytics

 

In this particular course you will learn that how Predictive Modeling encompasses a variety of techniques that can be used by organizations to predict continuous (for example, sales or demand data) as well as categorical (is someone a buyer or non-buyer?) dependent variables based on a host of input variables (independent variables).

  • Skill level: Intermediate
  • Rating: 4.55

What you will Learn?

  • Linear Regression
  • Logistic Regression
  • Discriminant Analysis

ENROLL FOR FREE

4. Data Visualization using Tableau

 

This course Data Visualization using Tableau will help you to learn that people lack the ability to understand data in its purest form and that is where data visualization comes in. Visualization plays an important role in the representation of both small and large scale datasets. In this course, you will learn to create easy to read and understand graphs, charts, and other visual representations of data.

  • Skill level: Beginner
  • Rating: 4.63

What you will Learn?

  • Tableau
  • Dashboard design
  • Visual Analytics
  • Advanced Mapping

ENROLL FOR FREE

5.Analytics on SAS

 

This course Analytics on SAS gives you a brief introduction to SAS. Then you’ll get hands-on experience as you go through the guide and experiment with sample SAS programs. At the end of the guide, you’ll find information about other SAS features, SAS Arrays, SAS macros and procedures, Logical and conditional statements

  • Skill level: Beginner

What you will Learn?

  • Basics of SAS
  • SAS installation
  • Functions and methods

ENROLL FOR FREE

6. Data Science Foundations

 

The Data Science Foundations will help you to learn Linear programming is an optimization technique for a system of linear constraints and a linear objective function. And in this course you will get to learn the Analytics Landscape, Introduction to Linear Regression, it’s Graphical method, sensitivity analysis, and assumptions in Linear Programming and some hand-on exercise

  • Skill level: Beginner

What you will Learn?

  • Analytics Landscape
  • Linear Programming
  • Hands-on exercise

ENROLL FOR FREE

7. Basics of Exploratory data analysis

 

Exploratory Data Analysis using Python. Exploratory Data Analysis, or EDA, is essentially a type of storytelling for statisticians. It allows us to uncover patterns and insights, often with visual methods, within data. In this course, you will learn the basics of EDA, how to use them in Python, Visualization, Matplotlib, Measure of spread and dispersion, Quartile and Coefficient of Correlation.

  • Skill level: Beginner

What you will Learn?

  • EDA concepts
  • EDA in python
  • Visualization tools

ENROLL FOR FREE

Do not miss 100+ Best free online courses with free certificates.

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