Course Content
Module 1 – Introductory
What is Data Science? Data Science is about data gathering, analysis and decision-making. Data Science is about finding patterns in data, through analysis, and make future predictions. By using Data Science, companies are able to make: Better decisions (should we choose A or B) Predictive analysis (what will happen next?) Pattern discoveries (find pattern, or maybe hidden information in the data) Where is Data Science Needed? Data Science is used in many industries in the world today, e.g. banking, consultancy, healthcare, and manufacturing. Examples of where Data Science is needed:
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Introduction to Data Analysis
10:00
Data Analysis Example A
09:20
Data Analysis Example B
10:18
EXCEL
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Part 1
31:49
Part 2 – A
04:53
Part 2-B
22:51
Part 3 – A
04:02
Part 3 -B
00:41
Part 3 – C
03:22
Part 3 – D
03:08
Part 3 – E
45:27
PowerBi
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Introduction, Installation and Basic Charts
18:39
Doughnut, piechart, include and exlcude
16:11
Powerbi Maps
19:51
PowerBi table and Matrix
21:24
PowerBi Line charts, table Matrix
32:52
Water fall, Text Card
26:33
PowerBi dashboard – data card
29:15
PowerBi Text Slicer and Dashboard
30:53
Drill dwon and scroller
26:10
PowerBi – dashboard and object inserts
25:48
Python Basic
Data Science – (Excel, PowerBi, SQL & Python)
About Lesson

Data analysis is the act of turning raw, messy data into useful insights by cleaning the data up, transforming it, manipulating it, and inspecting it.

More resources:

/https://www.freecodecamp.org/news/what-is-data-analysis/

 

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