
Python Pandas Certification Course
Learn Pandas with 100+ hands-on live running coding examples and exercises
Amit Diwan
Summary
- Certificate Completion - Free
- Reed Courses Certificate of Completion - Free
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Overview
Welcome to Python Pandas Full Course for Data Science (2024).
Pandas is a powerful and easy-to-use open-source tool built on top of the Python programming language. It is useful for data analysis and manipulation.
What you'll learn
- Learn Pandas from scratch (2024)
- Learn Pandas for Data Science and Data Analysis
- Acquire essential Pandas skills
- Practice your skills with 100+ coding exercises
- Learn Pandas best practices
- Be able to program in Pandas professionally.
- Learn to read CSV and Excel files with ease in Python
Certificates
Certificate Completion
Digital certificate - Included
Reed Courses Certificate of Completion
Digital certificate - Included
Will be downloadable when all lectures have been completed.
Curriculum
Course media
Description
Python with pandas is widely used in Statistics, Finance, Neuroscience, Economics, Web Analytics, Advertising, etc.
To work with data sets, clean them, and make them relevant for Data Science is what Pandas do. With that, easily load and read data sets in Excel, CSV, JSON, XML, etc. formats with Pandas and work on them. Easily clean the wrong format data, remove duplicates, and do other tasks with Pandas.
Features
- Analyze Data
- Manipulate Data
- Columns can be inserted and deleted from DataFrame
- Group the rows/ columns of a DataFrame/ Series
- Plotting is possible
- Read CSV/ JSON
- Fix the inaccurate data
- Clean the Data completely
- Easy to handle the missing data in the form: NaN, NA, or NaT
Course Lessons
- Pandas – Introduction & Features
- Install & Setup Pandas
- Create a Pandas DataFrame (Run first program)
- Pandas DataFrames – Attributes & Methods
- Join Pandas DataFrame
- Concatenate Pandas DataFrames
- Create a Pandas Series
- Pandas Series – Attributes & Methods
- Combine two Pandas series
- Categorical Data in Pandas
- Working with Categories in Pandas
- Read CSV in Pandas
- Read Excel in Pandas
- Indexing in Pandas
- Select multiple columns in Pandas
- Add a new column in Pandas
- Delete rows/ columns in Pandas
- Iterate over rows and columns in Pandas
- Sorting in Pandas
- Handle Duplicates in Pandas
- Clean the Data in Pandas
- String Operations in Pandas
- Date Time Operations in Pandas
- Remove Whitespace in Pandas
- Group the Data in Pandas
- Statistical Functions in Pandas
- Plot a DataFrame in Pandas
Bonus
Quiz
We have also provided Online Quizzes with 30 Questions to polish your Pandas skills after completing the lessons.
100+ live coding examples are covered to make each lesson easier for the students.
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Who is this course for?
- Those who want to learn Pandas by doing. This course includes 100+ hands-on exercises
- Gain a deep understanding of Python Pandas
- Python Libraries Beginners
- Get started with Pandas
- Learn all the topics in Pandas
Requirements
- A computer with an Internet
- Python knowledge
- Passion to learn Pandas
Career path
The Average Data Scientist's salary in the UK is £73,411
The Average Data Analyst salary in the UK is £41,449
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Legal information
This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.