130+ Openly accessible Data Science Tutorials/Lessons from Udemy

Often, we need an introductory tutorial to know/assess the tutor or quality of the course before purchase. Sometimes, you just need an introductory tutorial to troubleshoot your problem or understand certain terminology. In this case, you don’t want to spend your time searching for a free or openly accessible Data Science tutorial. As you will have to go throughout the course content to find openly accessible tutorial, also it is time-consuming and painful, I could understand. We have brought you openly accessible / free Data Science tutorials from paid courses on Udemy.

Please remember these Data Science tutorials are not free courses but are free tutorials /  lessons from paid courses. To enroll into the course you will have to pay. To get the free courses in Data Science or Python and R programming, kindly follow the other posts below. We have listed COMPLETELY FREE COURSES from Udemy and Coursera as well. This post only covers openly accessible Data Science tutorials, the list of Data Science tutorials is given below.

120+ FREE Data Science Courses from Udemy in 15 languages

Udemy is offering 100+ free data science courses in 15 languages: Data Science, Cloud Computing, Data Analysis, Machine Learning, AI and Big Data.

200 FREE Data Science Courses from Coursera

We have listed 200 free data science courses organized by 30+ Universities and 20+ professional institutions hosted by Coursera.

240+ FREE Python Courses and R Programming Courses from Udemy

Learn Python and R programming with over 200+ free courses from Udemy. Free Python courses can be accessed in 18 languages.

Latest Updated List on Openly Accessible Data Science Tutorials/ lessons

No.

Topics on Free Data Science tutorials

Approx. minutes

Category

1

A Brief History of Autonomous Vehicles

12 minArtificial Intelligence
2

Deep Learning Project Examples

7 minArtificial Intelligence
3

How to Become a Data Scientist in 6 Weeks

13 minArtificial Intelligence
4

Technology behind Neural Networks

19 minArtificial Intelligence
5

Types of Natural Language Processing

4 minArtificial Intelligence
6

What is a Backtest?

7 minArtificial intelligence
7

What is unsupervised learning used for?

6 minArtificial Intelligence/ Machine learning
8

Advantages of Infrastructure as a Service

2 minCloud computing
9

Advantages of Platform as a Service

1 minCloud computing
10

Basics of Virtualization in Cloud Computing

15 minCloud computing
11

Demo: Identity and Access Management (IAM)

23 minCloud computing
12

Install the AWS Command Line Interface on macOS

3 minCloud computing
13

Intro to AWS Developer, Media, Mobile, Migration, Business and IoT Tools

17 minCloud computing
14

Introduction to Analytics and Machine Learning

12 minCloud computing
15

Introduction to Cloud Formation And Infrastructure As Code

2 minCloud computing
16

Lambda Functions with Node.js

3 minCloud computing
17

Serverless Architecture – Key Features, Benefits and Challenges

6 minCloud computing
18

Serverless Architecture Use Cases

4 minCloud computing
19

Setting Up AWS Cloudtrail

11 minCloud computing
20

Software as a Service

5 minCloud computing
21

The Shared Responsibility Model for Security

9 minCloud computing
22

What is CloudFormation?

2 minCloud computing
23

What is The Cloud?

10 minCloud computing
24

Analyzing Data with Apache Spark

9 minData Analysis
25

Business Intelligence Solution Components Overview

8 minData Analysis
26

Computing the mean and the weighted mean of the data

12 minData Analysis
27

Conditional Clauses and Boolean Operations with Numpy

16 minData Analysis
28

Data Analyst vs. Data Scientist

3 minData Analysis
29

Databases vs spreadsheets

8 minData Analysis
30

Introduction to Predictive Analytics Models

6 minData Analysis
31

Kafka Streams vs other stream processing libraries (Spark Streaming, NiFI, Flink

3 minData Analysis
32

Leveraging Marketing Research for Sound Business Decisions

3 minData Analysis
33

Theory: K Means Clustering, Elbow method

11 minData Analysis
34

Using Dataframes with MLLib (Activity)

8 minData Analysis
35

What is a Cohort Analysis?

7 minData Analysis
36

What IS ETL Exactly?

4 minData Analysis
37

What is Kafka Streams?

5 minData Analysis
38

What is Multiple Regression?

8 minData Analysis
39

Why MySQL Should Be Your Database

2 minData Analysis
40

Install SPSS Statistics 24 on Windows

10 minData Analysis/ Artificial Intelligence
41

Central Limit Theorem

8 minData Analysis/ Data Science
42

Business Analytics, Data Analytics, and Data Science: An Introduction

8 minData Analysis/ Machine learning
43

What is Data Mining?

4 minData Analysis/ Machine learning
44

Dot Plots, Histograms and Skewness

17 minData Science
45

Power BI: Calculated Columns vs Calculated Measures

10 minData Science
46

Theory: K Means Clustering, Elbow method

11 minData Science
47

What is Database Normalization?

7 minData Science
48

What is Normal Distribution

4 minData Science
49

Analysis vs Analytics

4 minData Science/ Data Analysis
50

What is a Distribution?

12 minData Science/ Data Analysis
51

Distribution Plots in Python

18 minData Science/ Machine learning
52

How to Build a Recommendation System

17 minData Science/ Machine learning
53

Clustering Data with Hierarchical Clustering

9 minMachine learning
54

Decision Trees and Random Forests with scikit-learn

19 minMachine learning
55

Introduction to Decision Trees in Spark

16 minMachine learning
56

Introduction to Time Series with Pandas

1 minMachine learning
57

K-Means Clustering Tutorial

14 minMachine learning
58

Machine Learning Algorithms and AI Engine Requirements

6 minMachine learning
59

Naive Bayes Explained

14 minMachine learning
60

Principal Component Analysis (PCA) for Reduction and Whitening

5 minMachine learning
61

Skills Checklist

2 minMachine learning
62

Supervised Machine Learning

7 minMachine learning
63

The Ethics of Deep Learning

11 minMachine learning
64

The History of Artificial Neural Networks

11 minMachine learning
65

What is linear algebra?

8 minMachine learning
66

What is machine learning? How does linear regression play a role?

5 minMachine learning
67

What is the Perceptron

10 minMachine learning
68

How is Machine Learning Different from Statistical Data Analysis?

6 min

Machine learning/ Natural language processing

69

Bias Variance Trade-off

10 min

Natural language processing
70

Clustering : Introduction

19 min

Natural language processing
71

Computer Vision - An Introduction

18 min

Natural language processing
72

Count Vectorization

14 min

Natural language processing
73

Image to text

11 min

Natural language processing
74

Introduction, Outline, and Review

6 min

Natural language processing
75

Latent Dirichlet Allocation Overview

11 min

Natural language processing
76

List Comprehension

13 min

Natural language processing
77

Logistic Regression Review

8 min

Natural language processing
78

NLTK Introduction

10 min

Natural language processing
79

Overfitting - the bane of Machine Learning

19 min

Natural language processing
80

Planting the seed - What are Decision Trees?

17 min

Natural language processing
81

Read Data from a Database

8 min

Natural language processing
82

Sentences as Trees

5 min

Natural language processing
83

Twitter Sentiment Analysis - Regular Expressions for Preprocessing

12 min

Natural language processing
84

Visualizing Named Entity Recognition

7 min

Natural language processing
85

What are Chatbots?

9 min

Natural language processing/ Artificial Intelligence
86

Booleans: Boolean Operators - Lecture

18 minPython
87

Downloading And Installing Python On Ubuntu Linux

4 minPython
88

How to Create a Python Class

4 minPython
89

Install Python on Windows

4 minPython
90

Installing Python on Mac

1 minPython
91

Python Data Types

8 minPython
92

Python Exceptions Tutorial

7 minPython
93

Python Objects Tutorial

9 minPython
94

Python While Loop Tutorial

11 minPython
95

Python3 vs. Python2

7 minPython
96

What Are Algorithms and Why They're Important

7 minPython
97

What is a Variable in Python?

8 minPython
98

What is Django?

6 minPython
99

What is Reinforcement Learning?

8 minPython/ Artificial intelligence/ Machine learning
100

Creating our First Scatter Plot

15 minPython/ Data Analysis
101

Python Variables Tutorial

5 minPython/ Data Analysis
102

What is Data Science?

4 minPython/ Data Science/ Data Analysis
103

Natural Language Processing (NLP) - (Theory Lecture)

13 minPython/ Data Science/ Data Analysis/ Machine learning
104

What is Python?

5 minPython/ Data Science/ Data Analysis/ Machine learning
105

Matplotlib Tutorial

3 minPython/ Data Science/ Machine learning
106

Naive Bayes Classifier : An example

9 minPython/ Machine learning/ Natural language processing
107

Converting one variable type to another in R

6 minR programming
108

Creating A Matrix

11 minR programming
109

Decision Trees Lab (Intro)

2 minR programming
110

Downloading and installing R & R Studio

3 minR programming
111

Factor Analysis Lab (Intro)

2 minR programming
112

Fundamentals of Linear regression

22 minR programming
113

How to create ordered vector sequences in R

6 minR programming
114

How to Learn R

13 minR programming
115

How to make a word cloud

4 minR programming
116

Implementing Loop with Practical Examples

10 minR programming
117

Logical Operators

10 minR programming
118

Manipulating strings with `stringr` package in R

10 minR programming
119

Package Overview: Web Technologies and Services in R

5 minR programming
120

R Data Frames

13 minR programming
121

R Datasets and Dataframes

9 minR programming
122

Random Forest Lab (Intro)

2 min

R programming, Machine learning

123

Types of Data

4 minR programming
124

Understanding the Structure of an R Package

5 minR programming
125

Using some basic Functions in R

13 minR programming
126

Measurement of Central Tendency - Mean (Using R)

7 minR programming/ Data Analysis
127

What is Hypothesis Testing?

6 minR programming/ Data Analysis
128

Manipulating Data Frames (part 1)

5 minR programming/ Data Science
129

Box Plots Tutorial

5 minR programming/ Data Science/ Machine learning
130

Ensemble Methods: Bagging

7 minR programming/ Data Science/ Machine learning
131

Goodness of Fit for a Logistic Regression

12 minR programming/ Data Science/ Machine learning
132

Histograms Tutorial

19 minR programming/ Data Science/ Machine learning
133

The Classifier and Decision Boundary

5 minR programming/ Data Science/ Machine learning
2 Comments
  1. 10-12 min me data science kese sikhenge.

    Translated: How could any one learn data science in 10-12 minutes?

    • Hi Pranjal,

      We have listed tutorial/ lessons which are bytes from full courses just for introductory or for informational purpose. In order to learn data science, you can enroll yourself to any of the free courses from Udemy (we will add soon) or Coursera.

      Thanks

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