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Introduction to Data Science

1:01

What Is Data Science

2:03

Databases and Data Storage

4:18

Databases

4:32

Machine Learning

5:35

Artificial Intelligence

6:02

Nlp

6:24

Natural Language Understanding

6:27

Visualization

6:47

Different Data Types

7:33

Forms of Data

7:54

Semi-Structured

8:36

Data Processing

11:29

Modeling

12:48

Pandas

13:41

Numpy

13:55

Data Prep

15:43

Importing the Libraries

16:10

Download Libraries

16:51

Install Pandas

17:22

Create a Series

19:27

Literal Formats

24:40

Draw a Plot

26:39

Create a Data Frame

30:19

Select the Rows Using a Filter

33:25

Conditional Logic

34:04

Create a New Column

35:20

Blurry Video Quality

43:30

Backfill

54:02

Checking if You Data Is Duplicated

54:47

Introduction to Data Science with Python

59:45

What Will We Learn Tomorrow

1:01:14
Analysing Your Data: Data Science and ML track
Real world Data is messy. In this session we will cover Basics of using Python for data exploration with libraries such as Pandas. Additionally, we will explore data techniques for cleaning and transforming the data to handle challenges of missing, inaccurate, or incomplete data. https://aka.ms/30DLDSLandingPage Guest: Bethany Jepchumba Email: bethanycheum@microsoft.com About the Speaker: Bethany is passionate about Data Science, Artificial Intelligence and Machine Learning. Prior to joining the role, she was a Gold Microsoft Learn Student Ambassador. Join the Data Science and ML Clous Skills Challenge: https://aka.ms/30DLDataScienceAndML [eventID:16512]

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Microsoft Reactor

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