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
Ratings 4.75 / 5.00
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.
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.
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
