Python Pandas for Business Analytics/ Data Science _ Level 1
Learn faster way to analyze your data using Python's mighty Pandas library_ No coding/ Stats background required
Description
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.
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