Data Science
Course Instructor
INTRNFORTE
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Course Overview
Course Curriculum
1 Subject
Data Science
2 Exercises • 74 Learning Materials
Introduction to Data Science
Introduction
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Python Introduction
Introduction
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Installation of Python Notebook
Installation of Python Notebook
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IPYNB FILES
Data Types
Data Types
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Introduction List
List
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Tuples, Set, Dictionary
Tuples, Set, Dictionary
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Statement, Indentation and Comments
Statement, Indentation and Comments
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Conditions in Python
Conditions in Python
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Practice Codes
Practice Codes
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Loops and Iterations
Loops and Iterations
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List Comprehension
List Comprehension
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ASSIGNMENT
Functions and Methods.
Functions and methods
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ASSIGNMENT
Lambda Functions
Lambda Functions
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Map Filter and Reduce
Map Filter and Reduce
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ASSIGNMENT
OOPS
OOPS
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ASSIGNMENT
Exceptional Handling
Exceptional Handling
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SQL Connectivity
SQL Connectivity
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ASSIGNMENT
Introduction to Numpy and Operation
Introduction to Numpy and Operation
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ASSIGNMENT
Introduction to Pandas and Operation
Introduction to Pandas and Operation
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ASSIGNMENT
Probability
Probability
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Data Wrangling
Data Wrangling
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ASSIGNMENT
Matplotlib and Seaborn
Matplotlib and Seaborn
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Assignment
Null Values, Handling Missing Values
Null Values, Handling Missing Values
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Assignment 1
Assignement 2
Imputing and Encoding
Imputing and Encoding
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Data Science Life Cycle
Data Science Life Cycle
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Supervised and Unsupervised Machine Learning
Supervised and Unsupervised Machine Learning
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Implementing Multiple Linear Regression
Implementing Multiple Linear Regression
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Logistic Regression
Logistic Regression
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Feature Engineering
Feature Engineering
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K Nearest Neighbor Algorithm
K Nearest Neighbor Algorithm
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Decision Tree
Decision Tree
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Ensemple Techniques
Ensemple Techniques
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K-Means Clustering
K-Means Clustering
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Training Project 1
Training Project 1
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Training Project 2
Training Project 2
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Training Project 3
Spam Detection Engine Project
ASSIGNMENT
Assignments
Quiz
DS QUIZ 1
Exercise
DS QUIZ 2
Exercise
Projects
FORMAT TO BE GIVEN
Project 1
Project 2-
Internship Training Certificate
Post Completion
Resume Building
Resume Building
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Placement Training
Career Planning & Mapping
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Corporate Culture Part 1
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Corporate Culture Part 2
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Critical Thinking 1
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Critical Thinking for Problem Solving 2
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Goal Setting
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Interview Skills
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LinkedIn Profile
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Placement Training 5 Personality
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Placement Training Modules 1 4
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Time Management
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Communication Skills Module 1
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Confidence Building
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Corporate Business Etiquette
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Group Discussion
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Interview Questions
Live Recordings
Recorded Video 1
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Recorded Video 2
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Recorded Video 3
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Free Job Simulation by MNC'S
Steps to Follow
Course Instructor
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INTRNFORTE
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