- Exploratory data analysis
- Descriptive statistics
- Inferential statistics
- Model building and fine tuning
- Supervised and unsupervised learning
- Natural language processing
- Ensemble learning

- Software professionals
- Data Enthusiasts
- Engineering students

### Introduction to Data Science

#### Introduction

01:40##### Introduction Datascience

01:40

#### Lesson 01: Data Science In 5 Minutes

04:26##### Data Science In 5 Minutes

04:26

#### Lesson 02: What is Data Science?

42:48##### What is Data Science

42:48

#### Lesson 03: Top 5 Python Libraries

15:39##### Top 5 Python Libraries

15:39

#### Lesson 04: Linear Regression Analysis

28:21##### Linear Regression Analysis

28:21

#### Lesson 05: Logistic Regression

30:35##### Logistic Regression

30:35

#### Lesson 06: Confusion Matrix

20:01##### Confusion Matrix

20:01

#### Lesson 07: Decision Tree in Machine Learning

24:47##### Decision Tree in Machine Learning

24:47

#### Lesson 08: Random Forest

30:06##### Random Forest

30:06

#### Lesson 09: Support Vector Machine

23:48##### Support Vector Machine

23:48

#### Lesson 10: K Means Clustering

48:49##### K Means Clustering

48:49

#### Lesson 11: Dimensionality Reduction

30:06##### Dimensionality Reduction

30:06

#### Lesson 12: How To Become A Data Scientist In 2021

14:44##### How To Become A Data Scientist In 2021

14:44

#### Lesson 13: Data Science Jobs Skills Salary

25:31##### Data Science Jobs Skills Salary

25:31

#### Lesson_14: Data Science Engineer Resume

04:39##### Data Science Engineer Resume

04:39

#### Lesson 15: Data Science Interview Questions

46:43##### Data Science Interview Questions

46:43

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### What are the prerequisites to learn Data Science?

To learn Data Science you must have a basic understanding of programming concepts and mathematics.

### How do beginners learn Data Science?

Beginners who want to learn Data Science can start with the basics by joining this free Data Science course. Once you have mastered the basics you can move on to advanced topics.

### How long does it take to complete the Introduction to Data Science course?

This Introduction to Data Science course consists of 7 hours of video content that will help you understand the concepts thoroughly.

### What should I learn first in a free Data Science course?

It is recommended that you always start with the Data Science basics first. For a better understanding, watch the learning videos in sequence without skipping any.

### Why learn Data Science?

Data Science is the hottest technology of the digital age. Businesses are going through a digital transformation like never before. It is now believed that traditional skills are soon going to be replaced with digital skills. Data science is one such evolving field where professionals with specialized skills are finding excellent career opportunities. The demand for roles like data scientists, data analysts, and data engineers has increased considerably, making data science a popular career. Therefore, now is the time to learn data science.

### Is the Data Science beginners course easy to learn?

The videos that you find as a part of this Introduction to Data Science course are created by mentors who are industry leaders with vast experience in the field. They are aware of the needs of different learners and have designed the free course to be easy to learn.

- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.