Python Pandas for Business Analytics/ Data Science _ Level 1
Python Pandas for Business Analytics/ Data Science _ Level 1, available at $69.99, has an average rating of 4.5, with 24 lectures, based on 3 reviews, and has 31 subscribers.
You will learn about Using Google Colaboratory to run python code on a virtual machine [without needing to install python] Create one or two-dimensional [tabular] data sets in Python Pandas using various methods Import & Export external data sets [various file formats like Text, CSV, Excel, HTML, etc.] using Python Pandas Filter/Slice data based on indices, names, or using some condition [to answer some questions from the given data set] Data Visualization using Pandas [Selecting the right chart, creating quick plots in Pandas, & interpreting those] Clean Data for missing or invalid values in Pandas Finding aggregate summaries for different groups Explore data to find hidden insights [Typecasting variables, renaming columns, deleting rows/columns, descriptive stats, distribution, Cross tabulation, finding Combine multiple data sets [merging/joining or appending similar to various SQL joins and much more] Applying your learnings to complete an analytics project. This course is ideal for individuals who are Beginners willing to enter Analytics/Data Science/Machine Learning or Analysts (any domain) wanting to learn Python or Python developers wanting to learn Analytics/Data Science or Learners with a passion to explore new areas It is particularly useful for Beginners willing to enter Analytics/Data Science/Machine Learning or Analysts (any domain) wanting to learn Python or Python developers wanting to learn Analytics/Data Science or Learners with a passion to explore new areas.
Enroll now: Python Pandas for Business Analytics/ Data Science _ Level 1
Summary
Title: Python Pandas for Business Analytics/ Data Science _ Level 1
Price: $69.99
Average Rating: 4.5
Number of Lectures: 24
Number of Published Lectures: 23
Number of Curriculum Items: 24
Number of Published Curriculum Objects: 23
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- Using Google Colaboratory to run python code on a virtual machine [without needing to install python]
- Create one or two-dimensional [tabular] data sets in Python Pandas using various methods
- Import & Export external data sets [various file formats like Text, CSV, Excel, HTML, etc.] using Python Pandas
- Filter/Slice data based on indices, names, or using some condition [to answer some questions from the given data set]
- Data Visualization using Pandas [Selecting the right chart, creating quick plots in Pandas, & interpreting those]
- Clean Data for missing or invalid values in Pandas
- Finding aggregate summaries for different groups
- Explore data to find hidden insights [Typecasting variables, renaming columns, deleting rows/columns, descriptive stats, distribution, Cross tabulation, finding
- Combine multiple data sets [merging/joining or appending similar to various SQL joins and much more]
- Applying your learnings to complete an analytics project.
Who Should Attend
- Beginners willing to enter Analytics/Data Science/Machine Learning
- Analysts (any domain) wanting to learn Python
- Python developers wanting to learn Analytics/Data Science
- Learners with a passion to explore new areas
Target Audiences
- Beginners willing to enter Analytics/Data Science/Machine Learning
- Analysts (any domain) wanting to learn Python
- Python developers wanting to learn Analytics/Data Science
- Learners with a passion to explore new areas
Python is one of the most popular tools for analytics or data science, today. And in the world of Python, Pandas library [which stands for Python for Data Analysis] is really a game-changer when it comes to data importing, filtering, wrangling, manipulating, summarizing, or quickly plotting the data.
This course will make you a pro in using Python Pandas for analytics.
Course Curriculum
Chapter 1: About this Course!
Lecture 1: What to expect from the course?
Lecture 2: What not to expect from this course?
Lecture 3: Reach out to me!
Lecture 4: Meet your Instructor!
Lecture 5: How this course is organized?
Chapter 2: Getting Started with Python
Lecture 1: Download Python or Download & Install Anaconda Distribution
Lecture 2: Getting Started with Google Colab for Python
Lecture 3: Python & IPython Files, Jupyter & Jupyter Lab
Lecture 4: Getting Started with Spyder
Lecture 5: Changing Jupyter Start-up Folder
Chapter 3: Pandas for Data Analytics/Data Science
Lecture 1: Understanding Pandas Data Structure, Pandas Series creation & Series Methods
Lecture 2: Pandas Data Frame Creation
Lecture 3: Data Import & Export in Pandas
Lecture 4: Indexing/Slicing/Filtering or Sub-setting data
Lecture 5: Data Exploration in Python Pandas
Lecture 6: Basic Plots in Pandas
Lecture 7: Missing Value Treatment
Lecture 8: Combining Data Sets using SQL like joins_ Merge functions
Lecture 9: Combining Data Sets using Concate & Append
Chapter 4: Data sets for Practice
Lecture 1: Free data sets for practice
Chapter 5: Get your hands dirty & test what you've learnt!
Lecture 1: Practice Exercises with Solutions
Chapter 6: Analytics Projects/Use Cases
Lecture 1: HR Analytics _ Exploring Gender Wage Gap
Lecture 2: Assignment _ Automobile Data
Instructors
-
Dr. Nisha Arora
Corporate Trainer_ Data Science
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 2 votes
- 5 stars: 1 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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