08-31-2024, 11:06 PM
8.35 GB | 00:30:36 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 Introduction to Bussiness and Data (110.35 MB)
1 1 Supported Files-PPTs (23.96 MB)
1 Data Gathering and API (249.81 MB)
2 Linear Algebra and Advance mathematics in Data Analytics (118.41 MB)
1 Capstone Project (56.72 MB)
2 Project Solution Part-1 (332.35 MB)
3 Project Solution Part-2 (253.59 MB)
4 Project Solution Part-3 (151.28 MB)
1 Python Basics and Jupyter Notebook (108.9 MB)
2 Python Basics and Jupyter Notebook- Lab Session (158.4 MB)
3 Python Basics and Jupyter Notebook- Lab Session Continued (139.82 MB)
1 Basic Python Syntax (172.04 MB)
2 Basic Python Syntax Practical (154.64 MB)
3 Basic Python Syntax Practical Continued (103.02 MB)
4 Basic Python Syntax Practical Continued (193.72 MB)
5 Basic Python Syntax Practical Continued (147.24 MB)
6 Conditional Programming in Python (82.24 MB)
7 Conditional Programming in Python Practical (212.46 MB)
8 Conditional Programming in Python Practical Continued (152.35 MB)
9 Conditional Programming in Python Practical Continued (225.12 MB)
1 Functions and Sequences (124.48 MB)
2 Functions and Sequences Practicle session (112.21 MB)
3 Functions and Sequences Practicle session Continued (162.56 MB)
4 Functions and Sequences Practicle session Continued (166.58 MB)
5 Functions and Sequences Practicle session Continued (169.33 MB)
6 Functions and Sequences Practicle session Continued (163.58 MB)
1 Object Oriented Programming (OOPS) and Numpy (115.9 MB)
2 Object Oriented Programming (OOPS) and Numpy Practical session (185.15 MB)
3 Object Oriented Programming (OOPS) and Numpy Practical session Continued (133.06 MB)
4 Object Oriented Programming (OOPS) and Numpy Practical session continued (187.8 MB)
5 Object Oriented Programming (OOPS) and Numpy Practical session continued (205.49 MB)
6 Object Oriented Programming (OOPS) and Numpy Practical session continued (92.5 MB)
1 Pandas Library and Data Manipulation (182.1 MB)
2 Pandas Library and Data Manipulation Part-2 (194.5 MB)
3 Pandas Library and Data Manipulation Part-3 (203.06 MB)
1 Working with Files and Data Importing (233.91 MB)
2 Working with Files and Data Importing (Part-2) (337.52 MB)
3 Working with Files and Data Importing (Part-3) (137.54 MB)
1 Data Cleaning and Preprocessing (274.51 MB)
2 Data Cleaning and Preprocessing Part- 3 (278.92 MB)
3 Pandas Methods and Operations (129.37 MB)
4 Pandas Methods and Operations Part-2 (284.41 MB)
5 Pandas Methods and Operations Part-3 (169.34 MB)
6 Assignment (177.99 MB)
7 Data Cleaning and Preprocessing Part-2 (248.03 MB)
8 Assignment Solution (244.56 MB)
1 Exploratory Data Analysis (EDA) (227.2 MB)
2 Exploratory Data Analysis (EDA) Part-2 (262.27 MB)
1 Introduction to Bussiness and Data (110.35 MB)
1 1 Supported Files-PPTs (23.96 MB)
1 Data Gathering and API (249.81 MB)
2 Linear Algebra and Advance mathematics in Data Analytics (118.41 MB)
1 Capstone Project (56.72 MB)
2 Project Solution Part-1 (332.35 MB)
3 Project Solution Part-2 (253.59 MB)
4 Project Solution Part-3 (151.28 MB)
1 Python Basics and Jupyter Notebook (108.9 MB)
2 Python Basics and Jupyter Notebook- Lab Session (158.4 MB)
3 Python Basics and Jupyter Notebook- Lab Session Continued (139.82 MB)
1 Basic Python Syntax (172.04 MB)
2 Basic Python Syntax Practical (154.64 MB)
3 Basic Python Syntax Practical Continued (103.02 MB)
4 Basic Python Syntax Practical Continued (193.72 MB)
5 Basic Python Syntax Practical Continued (147.24 MB)
6 Conditional Programming in Python (82.24 MB)
7 Conditional Programming in Python Practical (212.46 MB)
8 Conditional Programming in Python Practical Continued (152.35 MB)
9 Conditional Programming in Python Practical Continued (225.12 MB)
1 Functions and Sequences (124.48 MB)
2 Functions and Sequences Practicle session (112.21 MB)
3 Functions and Sequences Practicle session Continued (162.56 MB)
4 Functions and Sequences Practicle session Continued (166.58 MB)
5 Functions and Sequences Practicle session Continued (169.33 MB)
6 Functions and Sequences Practicle session Continued (163.58 MB)
1 Object Oriented Programming (OOPS) and Numpy (115.9 MB)
2 Object Oriented Programming (OOPS) and Numpy Practical session (185.15 MB)
3 Object Oriented Programming (OOPS) and Numpy Practical session Continued (133.06 MB)
4 Object Oriented Programming (OOPS) and Numpy Practical session continued (187.8 MB)
5 Object Oriented Programming (OOPS) and Numpy Practical session continued (205.49 MB)
6 Object Oriented Programming (OOPS) and Numpy Practical session continued (92.5 MB)
1 Pandas Library and Data Manipulation (182.1 MB)
2 Pandas Library and Data Manipulation Part-2 (194.5 MB)
3 Pandas Library and Data Manipulation Part-3 (203.06 MB)
1 Working with Files and Data Importing (233.91 MB)
2 Working with Files and Data Importing (Part-2) (337.52 MB)
3 Working with Files and Data Importing (Part-3) (137.54 MB)
1 Data Cleaning and Preprocessing (274.51 MB)
2 Data Cleaning and Preprocessing Part- 3 (278.92 MB)
3 Pandas Methods and Operations (129.37 MB)
4 Pandas Methods and Operations Part-2 (284.41 MB)
5 Pandas Methods and Operations Part-3 (169.34 MB)
6 Assignment (177.99 MB)
7 Data Cleaning and Preprocessing Part-2 (248.03 MB)
8 Assignment Solution (244.56 MB)
1 Exploratory Data Analysis (EDA) (227.2 MB)
2 Exploratory Data Analysis (EDA) Part-2 (262.27 MB)
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