Udemy Data Analysis with Python

[AD-TEAM]

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)

Screenshot

https://rapidgator.net/file/13f05309f2f952f514d928b6cfa55ff9/Udemy_Data_Analysis_with_Python.part1.rar
https://rapidgator.net/file/b22607b685527357889518d4353508ec/Udemy_Data_Analysis_with_Python.part2.rar
https://rapidgator.net/file/c29490761aefd428be5d88c07411d80a/Udemy_Data_Analysis_with_Python.part3.rar
https://rapidgator.net/file/0b9ae81a40365b289fc83ade363546a2/Udemy_Data_Analysis_with_Python.part4.rar
https://rapidgator.net/file/e10437ea7fb27185adb7a0188ff6b9f6/Udemy_Data_Analysis_with_Python.part5.rar

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