Course curriculum
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1
Let's get started here..!
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Student GuideBook
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Know About Your Trainer
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Schedule, Timeline & Curriculum
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Jupyter NoteBook Installation Guide
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DATA SCIENCE THE BIG FUTURE: INTRODUCTION AND SCOPE
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2
ZOOM LIVE SESSION LINKS
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10 OCT _DS_ZOOM LIVE SESSION
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3
Module 1
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Data Science Live Session 1- 04/08/2020
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4
Module 2
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Data Science Live Session 2- 06/08/2020
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5
Module 3
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Data Science Live Session 3- 07/08/2020
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6
Module 4
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Data Science Live Session 4- 08/08/2020
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7
Module 5
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Data Science Live Session 5- 11/08/2020
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8
Module 6
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Data Science Live Session 6- 13/08/2020
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9
Important Material: DS
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Assignment 1: Python Basics
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Data Structure in Python
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Control Flow and Loops in Python
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Assignment 2: Practice and FAQ's
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Practice Statistics Question
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Statistics
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10
Module 7
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Data Science Live Session 7- 14/08/2020
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11
Module 8
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Data Science Live Session 8- 18/08/2020
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12
Module 9
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Data Science Live Session 9- 20/08/2020
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13
Module 10
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Data Science Live Session 10- 21/08/2020
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14
Module 11
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Data Science Live Session 11- 22/08/2020
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15
Module 12
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Data Science Live Session 12- 23/08/2020
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16
Module 13
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Data Science Live Session 13- 25/08/2020
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17
Module 14
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Data Science Live Session 14- 27/08/2020
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18
Module 15
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Data Science Live Session 15- 28/08/2020
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19
Important Reading Material
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Statistics
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NUMPY
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PANDAS
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20
Reference Material
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EDA Dataset
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DataPerts - MATPLOTLIB
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DataPerts - SEABORN
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DataPerts - EDA
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Session 1 - Types of Data, Measures of Central & Dispersion_stats
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Session 2 - Skewness, Kurtosis, Descriptive Stats
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21
Module 16
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Data Science Live Session 16- 29/08/2020
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22
Module 17
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Data Science Live Session 17- 03/09/2020
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23
Module 18
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Data Science Live Session 18- 05/09/2020
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24
Module 19
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Data Science Live Session 19- 06/09/2020
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25
Module 20
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Data Science Live Session 20- 07/09/2020
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26
Module 21
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Data Science Live Session 21- 09/09/2020
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27
Module 22
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Data Science Live Session 22- 12/09/2020
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28
Module 23
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Data Science Live Session 23- 13/09/2020
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29
Module 24
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Data Science Live Session 24- 26/09/2020
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30
Module 25
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Data Science Live Session 25- 27/09/2020
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31
Project
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Titanic.csv
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Problem Statement
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Project Submission Link
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32
Reference Materials
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Fruits
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SLR_AdSpendVsSales
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Multiple LR_Advertising_2_CategoricalVariables
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InMovidu+DataPerts - SLR - AdSpendVsSales
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Multiple LR_Advertising_Categorical
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Logistic Regression
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Subscription
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KNN Classification_1 - IRIS
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KNN Classification - Fruits
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33
Important Materials
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01 - Decision Tree Basics.html
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03- Decision Tree - Diabetes (1).html
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01 - Random Forest - Introduction.html
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02 - Random Forest Classification - Social Network Ads.html
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01 - Clustering - Introduction.html
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KMeans_Case Study1_CreditCard.html
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KMeans_Case Study2_Seeds.html
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Hierarchical_Case Study1_CreditCard.html
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Hierarchical_Case Study2_seeds.html
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Diabetes.csv
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Social Network Ads
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creditcard.csv
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seeds.csv
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34
Module 26
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Data Science Live Session 26- 03/10/2020
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35
Module 27
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Data Science Live Session 27- 04/10/2020
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36
Module 28
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Data Science Live Session 28- 10/10/2020
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37
Module 29
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Data Science Live Session 29- 11/10/2020
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38
Major Project
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Data Science Major Project
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