NAGPUR-EXPERT DATA SCIENCE ANALYTICS AI
Expert Data Science Analytics AI is designed to build strong skills in data analysis, statistics, machine learning, and artificial intelligence. The course focuses on data cleaning, visualization, Python for data science, predictive modeling, business analytics, and AI-driven insights to solve real-world problems and support data-driven decision making.
Course Instructor:
Admin
₹120000.00
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Course Overview
Schedule of Classes
Course Curriculum
1 Subject
Python Essentials for Data Science
90 Learning Materials
Day 1:Introduction to Data Science
Introduction to Data Science
Video
00:04:30
Introduction to Data Science-[Notes]
PDF
Introduction to Data Science-[GIQ]
PDF
Day 2:Getting Started with Python
Getting Started With python
Video
00:04:30
Getting Started with Python-[Notes]
PDF
Getting Started with Python-[GIQ]
PDF
Day 3:Play with Variables and Data Types in Python
Play with Variables and Data Types in Python
Video
00:05:21
Play with Variables and Data Types in Python-[Notes]
PDF
Play with Variables and Data Types in Python-[GIQ]
PDF
Day 4:Type Casting and Strings in Python
Type Casting and Strings in Python
Video
00:02:15
Type Casting and Strings in Python-[Notes]
PDF
Type Casting and Strings in Python-[GIQ]
PDF
Day 5:Operators in Action – The Fundamentals of Python Expressions
Operators in Action – The Fundamentals of Python Expressions
Video
00:01:40
Operators in Action – The Fundamentals of Python Expressions-[Notes]
PDF
Operators in Action – The Fundamentals of Python Expressions-[GIQ]
PDF
Day 6:Making Decisions with Conditional Statements
Making Decisions with Conditional Statements
Video
00:02:33
Making Decisions with Conditional Statements-[Notes]
PDF
Making Decisions with Conditional Statements-[GIQ]
PDF
Day 7:Harnessing Lists – Functions, Comprehension, and Data Management
Harnessing Lists – Functions, Comprehension, and Data Management
Video
00:02:27
Harnessing Lists – Functions, Comprehension, and Data Management-[Notes]
PDF
Harnessing Lists – Functions, Comprehension, and Data Management-[GIQ]
PDF
Day 8:Lists and Tuples – Understanding Structures and Their Functions
Lists and Tuples: Understanding Structures and Their Functions
Video
00:02:25
Lists and Tuples – Understanding Structures and Their Functions-[Notes]
PDF
Lists and Tuples – Understanding Structures and Their Functions-[GIQ]
PDF
Day 9:Looping Logic – Mastering Iteration
Looping Logic – Mastering Iteration
Video
00:02:18
Looping Logic – Mastering Iteration-[Notes]
PDF
Looping Logic – Mastering Iteration-[GIQ]
PDF
Day 10:Pattern Design and List Comprehension
Pattern Design and List Comprehension
Video
00:02:19
Pattern Design and List Comprehension-[Notes]
PDF
Pattern Design and List Comprehension-[GIQ]
PDF
Day 11:Dynamic and Immutable Data Structures – Sets
Dynamic and Immutable Data Structures – Sets
Video
00:02:07
Dynamic and Immutable Data Structures – Sets-[Notes]
PDF
Dynamic and Immutable Data Structures – Sets-[GIQ]
PDF
Day 12:Mastering Dictionaries in Python
Mastering Dictionaries in Python (Data Science)
Video
00:02:23
Mastering Dictionaries in Python (Data Science)-[Notes]
PDF
Day 12: Mastering Dictionaries in Python (Data Science)-[GIQ]
PDF
Day 13:Navigating the Python Function Landscape
Navigating the Python Function Landscape
Video
00:02:29
Navigating the Python Function Landscape-[Notes]
PDF
Navigating the Python Function Landscape-[GIQ]
PDF
Day 14:Arguments and Lambda Functions in Python
Arguments and Lambda Functions in Python
Video
00:01:52
Arguments and Lambda Functions in Python-[Notes]
PDF
Arguments and Lambda Functions in Python-[GIQ]
PDF
Day 15:Built-in Functions and Modules in Python
Built-in Functions and Modules in Python
Video
00:02:37
Built-in Functions and Modules in Python-[Notes]
PDF
Built-in Functions and Modules in Python-[GIQ]
PDF
Day 16:Introduction to OOP in Python
Introduction to OOP in Python
Video
00:02:41
Introduction to OOP in Python-[Notes]
PDF
Introduction to OOP in Python-[GIQ]
PDF
Day 17:OOP – Inheritance, Encapsulation, and Abstraction
OOP – Inheritance, Encapsulation, and Abstraction
Video
00:04:33
OOP – Inheritance, Encapsulation, and Abstraction-[Notes]
PDF
OOP – Inheritance, Encapsulation, and Abstraction-[GIQ]
PDF
Day 18:Abstraction
Abstraction
Video
00:02:56
Abstraction-[Notes]
PDF
Abstraction-[GIQ]
PDF
Day 19:Regular Expressions (Regex)
Regular Expressions (Regex)
Video
00:03:09
Regular Expressions (Regex)-[Notes]
PDF
Regular Expressions (Regex)-[GIQ]
PDF
Day 20:Handling Errors and Exceptions
Handling Errors and Exceptions
Video
00:02:51
Handling Errors and Exceptions-[Notes]
PDF
Handling Errors and Exceptions
PDF
Day 21 :Installation of Anaconda and Introduction to NumPy
Installation of Anaconda and Introduction to NumPy
Video
00:04:12
Installation of Anaconda and Introduction to NumPy-[Notes]
PDF
Installation of Anaconda and Introduction to NumPy-[GIQ]
PDF
Day 22:Creating and Slicing Arrays in NumPy
Creating and Slicing Arrays in NumPy
Video
00:03:47
Creating and Slicing Arrays in NumPy-[Notes]
PDF
Creating and Slicing Arrays in NumPy-[GIQ]
PDF
Day 23:Introduction to Pandas
Introduction to Pandas
Video
00:03:55
Introduction to Pandas-[Notes]
PDF
Introduction to Pandas-[GIQ]
PDF
Day 24:Pandas Methods, Basic Data Manipulation, and Loading CSV Files
Pandas Methods, Basic Data Manipulation, and Loading CSV Files
Video
00:06:39
Pandas Methods, Basic Data Manipulation, and Loading CSV Files-[Notes]
PDF
Pandas Methods, Basic Data Manipulation, and Loading CSV Files-[GIQ]
PDF
Day 25:Introduction to Matplotlib
Introduction to Matplotlib
Video
00:05:43
Introduction to Matplotlib-[Notes]
PDF
Introduction to Matplotlib-[GIQ]
PDF
Day 26:Introduction to Seaborn
Introduction to Seaborn
Video
00:04:48
Introduction to Seaborn-[Notes]
PDF
Introduction to Seaborn-[GIQ]
PDF
Day 27:Exploratory Data Analysis (EDA) – Part 1
Exploratory Data Analysis (EDA) – Part 1
Video
00:04:33
Exploratory Data Analysis (EDA) – Part 1-[Notes]
PDF
Exploratory Data Analysis (EDA) – Part 1-[GIQ]
PDF
Day 28:Exploratory Data Analysis (EDA) – Part 2
Exploratory Data Analysis (EDA) – Part 2
Video
00:04:35
Exploratory Data Analysis (EDA) – Part 2-[Notes]
PDF
Exploratory Data Analysis (EDA) – Part 2-[GIQ]
PDF
Day 29:Data Cleaning
Data Cleaning
Video
00:06:19
Data Cleaning-[Notes]
PDF
Data Cleaning-[GIQ]
PDF
Day 30:Solving Assignment on EDA
Solving Assignment on EDA
Video
00:04:34
Solving Assignment on EDA-[Notes]
PDF
Solving Assignment on EDA-[GIQ]
PDF
Course Instructor
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Admin
7 Courses • 2005 Students
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