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A dive into the Data Analytics journey: Data Exploration & Visualization (2/3)

Microsoft Reactor
114K subscribers
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390 views Streamed 2 years ago
In this series of sessions, Hadeel will take you on a journey in Data Analytics, where she will be exploring each stage separately. In the first phase, we walked through the steps and aspects to consider to clean your data and get it prepared to be processed and used to extract insights and make decisions (Data cleaning & preprocessing). We then applied Exploratory data analysis to investigate our dataset and summarize main characteristics and highlight significant factors. Then, we applied data visualization techniques to identify patterns and trends in our dataset using visual methods – such as graphs, charts and plots. The nex …...more
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Role as a Cloud Advocate

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The Data Science Life Cycle

16:23

A Typical Data Science Life Cycle

17:59

Data Science Process

18:12

Process Your Data

18:45

Expiratory Data Analytics

19:40

Process of Data Science

20:32

Data Exploration and Visualization

21:29

Data Exploration and Data Visualization

21:36

Exploratory Data Analytics

21:59

What Expiratory Data Analytics Is

22:26

What Is Eda Used for Exploratory

23:35

Steps That Analysts Have in Mind When Performing Eda

24:29

Why Is Exploratory Data Analytics Very Important in Data Science

25:13

Data Visualization

27:16

Three Elements of a Successful Data Visualization

29:26

Goal of Data Visualization

30:17

Why Do We Use Data Visualization

31:53

Types of Data Visualizations

32:22

When To Use the Right Visualization Chart or Graph

32:36

Box Plots

33:27

Scatter Plots

33:54

Line Graphs

34:30

Boiled Charts

35:23

Histograms

35:58

Pie Charts

36:58

Column Charts

37:23

Examples of Visualizations

37:50

What Is Data Storytelling

41:14

High Level Data Exploration

44:32

Data Cleaning and Pre-Processing

46:28

Remove Unused Columns

47:44

Converted the Categorical Columns to Numerical Columns

48:15

Minimum Maximum Normalization

48:59

Distribution of Charges

50:08

The Correlation between Smoking and Cost of Treatment

50:50

Scatter Plot

53:01

Find the Correlation between the Bmi and between the Cost of Treatment

54:34

Data Processing Analysis

57:39

Recap

1:00:11
A dive into the Data Analytics journey: Data Exploration & Visualization (2/3)
In this series of sessions, Hadeel will take you on a journey in Data Analytics, where she will be exploring each stage separately. In the first phase, we walked through the steps and aspects to consider to clean your data and get it prepared to be processed and used to extract insights and make decisions (Data cleaning & preprocessing). We then applied Exploratory data analysis to investigate our dataset and summarize main characteristics and highlight significant factors. Then, we applied data visualization techniques to identify patterns and trends in our dataset using visual methods – such as graphs, charts and plots. The next step is data processing & model deployment. In data processing, we will focus on model selection, building, and testing. Prediction models is also used in this step. After deploying our model to the dataset, the last and final step in the data analytics lifecycle is data analysis. After going through all the phases, we will analyze our data and interpret the results. This part is essential because it’s how a business will gain actual value from the previous steps. What will you learn? As we explore and dig deeper into the Data Analytics process, you will learn how to process and analyze your data. We will go through the data processing & analysis steps in details, helping you gain an understanding of what the process looks like. Who is it aimed at? Beginners to Python and Data Science. Some familiarity with programming recommended. Anyone interested in diving deep into the Data Science field. More learning/prerequisites: For further learning, the following learn module is recommended, available on Microsoft Learn: https://aka.ms/DeepDiveDataAnalytics_LM Speaker: Hadeel Shubair Speaker Bio: Hadeel is a Regional Cloud Advocate and Data Analytics Engineer for Microsoft, Middle East/Africa region. She holds a Master’s degree in Data Analytics and is passionate about learning and sharing her knowledge on tech topics including Data Analytics, AI, & ML. Before joining Microsoft, Hadeel held several appointments and roles including Google Women in Tech scholar through which she delivered several sessions to the community to motivate and empower young talents. Hadeel also served as part of the Data & Communications team overlooking the organization of the World Government Summit. On the other side, while at University, Hadeel chaired the Women in Engineering club, and was the Chief Editor of the Engineering Newsletter. As a Cloud Advocate for the Microsoft Reactor, Hadeel’s main goal is to take you on a journey to understand & learn more about Data and AI concepts and applications. She's passionate about technology, education, & growing the Data & AI community across the region.

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Microsoft Reactor

114K subscribers