Learn Python + Pandas for data cleaning, profiling &
EDA, and prep data for machine learning & data science with Python
Course link - https://bitli.in/Ga2I4sg
What you'll learn
- Master
the core building blocks of Python for data science BEFORE applying
machine learning algorithms
- Scope
data science projects by clearly defining the goals, techniques, and data
sources needed for your analysis
- Import
and export flat files, Excel workbooks, and SQL database tables using
Pandas
- Clean
data by converting data types, handling common data issues, and creating
new columns for analysis
- Perform
exploratory data analysis (EDA) by sorting, filtering, grouping, and
visualizing data to discover patterns and insights
- Prepare
data for machine learning models by joining tables, aggregating rows, and
applying feature engineering techniques
This course includes:
- 8.5
hours on-demand video
- 3
articles
- 2
downloadable resources
- Access
on mobile and TV
- Certificate
of completion
Course link - https://bitli.in/Ga2I4sg
It is recommended to learn Natural Language Processing in
Python (NEW for 2025!) after this course – link - https://bitli.in/e25d67v
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