Data Science | Road Map | Algorithms | Computer Science | Python Tutoring

Data Science | Road Map | Algorithms | Computer Science | Python Tutoring | Malaysia

What is Data Scicnce ?

“…a field that deals with unstructured, structured data, and semi-structured data. It involves practices like data cleansing, data preparation, data analysis, and much more.

Data science is the combination of statistics, mathematics, programming, and problem-solving; capturing data in ingenious ways; the ability to look at things differently; and the activity of cleansing, preparing, and aligning data.”

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What you need to learn to become a Data Scientist ?

Descriptive Statistics
Probability
Python (OOP + Pandas + Numpy + Scipy)
Data Cleaning: One of the MOST important skills that you need to master to become a good data scientist, you need to practice on many datasets to master it.
Data Visualization (using Matplotlib and seaborn )
Dashboards (Tableau)
SQL and DB (SQL for Data Analysis)
Time Series Analysis
DataSets
End to End Data Scicnce Project

List of classes & the asscociated slides & codes :

1) Class 8 (25Oct ):

a) Video : Part 1 (Intro into Python & function Excer.),

b) Files: N/A

c) Class Code: Class 1

d) Excercises : N/A

2) Class 2 (1 Nov. ):

a) Video : Part 1 (Solving Programming Problems methods),

Part 2 (Using Lists & Print Statements)

Part 3 (Using Random Gen, Range, List slicing),

Part 4 ( using Remove and append methods + List Exercises )

b) Files: GDrive

c) Class Code: Class 2

d) Excercises : Lists Excer

* You can run the file on your computer or you can regsiter a free account on https://replit.com to modify the source code, in this case you will need to rename the file as main.py

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