Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 27 Minute(s)
Language
English
Taught by
Dr. Nisha Arora
Rating
Course Overview
Learn faster way to analyze your data using Python's mighty Pandas library_ No coding/ Stats background required
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 Content
- 6 section(s)
- 23 lecture(s)
- Section 1 About this Course!
- Section 2 Getting Started with Python
- Section 3 Pandas for Data Analytics/Data Science
- Section 4 Data sets for Practice
- Section 5 Get your hands dirty & test what you've learnt!
- Section 6 Analytics Projects/Use Cases
What You’ll 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.
Skills covered in this course
Reviews
-
UUmakant
Thank You Dr. Nisha Arora Ma'am, I love all the things that you teach in this course, I have to learn all the concepts of data handling in pandas like its functions and methods. This course is very unique and flexible in handling large data and provides great help to the Analyst/Data Scientist to perform basic day-to-day operations which are mostly used in the industry. Thanks, UMAKANT
