Python Introduction with Data Analysis and Basic Excel tool

In this course, you will learn Python Programming with Data Analysis and Basic Excel tool

Intermediate 0(0 Ratings) 1 Students enrolled
Created by Amit Dhomne Last updated Wed, 09-Feb-2022 English
What will i learn?
  • After doing this course you will be prepared For Data Analyst, Analytics field ,Python Programmer job

Curriculum for this course
49 Lessons 07:01:15 Hours
Introduction to Python Programming
14 Lessons 01:57:58 Hours
  • Introduction to Python Programming 00:10:33
  • Python Installation Steps 00:01:50
  • Python Standalone Application installation 00:06:40
  • Jupyter Anaconda Installation 00:07:09
  • How to run python code Google cloud Google colab 00:17:01
  • Difference between Python programming and other programming language 00:03:45
  • Variable in python 00:08:34
  • Hands on Lab : Variable 00:04:35
  • Operator in python 00:20:21
  • Hands on lab: Operator 00:10:49
  • How to execute python code with command prompt at window OS 00:04:41
  • Indentation Error in Python 00:06:39
  • String in python 00:08:18
  • File reading & writing in python 00:07:03
  • Python DataStructure : List 00:11:16
  • Hands on Lab : List 00:25:44
  • Python DataStructure : Set 00:07:12
  • Python DataStructure : Tuple 00:03:12
  • Python DataStructure :Dictiontary 00:05:05
  • Hands on Lab : Data Structure 00:12:44
  • Slicing operation 00:07:11
  • Function declaration and uses 00:07:54
  • Hands on Lab : User-Defined Function 00:07:27
  • Condition In Python 00:07:59
  • Looping in python 00:11:58
  • For loop 00:03:31
  • Hands on Lab : Loop 00:14:35
  • Numpy lecture 1 00:07:17
  • Numpy lecture 2 00:07:07
  • Numpy lecture 3 00:06:01
  • Numpy lecture 4 00:07:21
  • Pandas lecture 1 00:06:59
  • Pandas lecture 2 00:06:38
  • Pandas lecture 3 00:04:23
  • Pandas lecture 4 00:10:30
  • Introduction to Data Analysis 00:01:40
  • Hands on Lab : Data Visualization 00:07:52
  • Hands on Lab : Data Visualization 00:10:20
  • Hands on Lab : Data Visualization 00:06:19
  • Data Analysis & Data Cleansing with MS-Excel tool Project 00:15:22
  • Data Analysis & Data Cleansing with MS-Excel tool Project 00:18:17
  • Data Analysis & Data Cleansing with MS-Excel tool Project 00:09:51
  • Titanic project Data analysis python project Lecture1 00:13:24
  • Titanic project Data analysis python project Lecture 2 00:12:34
  • Titanic project Data analysis python project Lecture 3 00:04:49
  • Titanic project Data analysis python project Lecture 4 00:10:12
  • Titanic project Data analysis python project Lecture 5 00:04:45
  • Interview Tips 00:04:21
  • Thank you 00:01:27

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Jobs that require this skill:

  • After doing this course you will be prepared For Data Analyst
  • Analytics field
  • Python Programmer job
Requirements
  • Python Standalone Application 3.9 or above
  • Jupyter Anaconda Notebook
  • PyCharm IDE
  • Basic Knowledge Programming,
  • Data Analysis , Data understandings
  • Beginner to programming can also enroll this course
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Description
  1. In this course, you will learn Python Programming with Data Analysis and Basic Excel tool
  2. After doing this course you will understand what skill needed to become Data Analyst
  3. I have explained in this course in a detailed way  Python programming, Data analysis with the use of python, Data Visualization  & Basic Excel function, Text Function in excel that help in Data Cleaning and Data Analysis.

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About the instructor
  • 0 Reviews
  • 1 Students
  • 4 Courses
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Amit Dhomne

Passionate, Ambitious Software Developer working in Google. I am more toward software development and Instructing candidate, the mentoring student with technical knowledge.

I have experience of 3 years in Software & development, Teaching, Research, and Project building. I have more than 500 students over the world.

I am having skilled in Data Science, Data Engineering, Cloud, Java & python programming, Data analytics, GCP, Bigdata Hadoop & spark

 

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Includes:
  • 07:01:15 Hours On demand videos
  • 49 Lessons
  • Access on mobile and tv
  • Full lifetime access