Topics to learn in Python for Data Analysts

➡️Here are the topics to learn in Python for a data analyst:

➡️*Basic Python*

- Variables, data types, and operators
- Control structures (if/else, for loops, while loops)
- Functions and modules
- Data structures (lists, dictionaries, sets)

➡️*Data Analysis*

- NumPy and Pandas libraries
- Data cleaning and preprocessing
- Data visualization (Matplotlib, Seaborn)
- Data manipulation and analysis (groupby, merge, pivot tables)

➡️*Data Visualization*

- Matplotlib and Seaborn libraries
- Plotting (line plots, scatter plots, bar plots)
- Charting (histograms, box plots, heatmaps)
- Interactive visualizations (Bokeh, Plotly)

➡️*Data Handling*

- Importing and exporting data (CSV, Excel, SQL)
- Data wrangling and preprocessing
- Data storage and management (Pandas DataFrames)

➡️*Statistics*

- Descriptive statistics (mean, median, mode)
- Inferential statistics (hypothesis testing, confidence intervals)
- Regression analysis

➡️*Data Storytelling*

- Communicating insights and results
- Creating interactive dashboards
- Data visualization best practices

Aditi Gupta
Analytics Mentor

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🎯 Remember, practice is key! Work on projects and exercises to reinforce your learning.

[Priti-duxq]

Hey girl....how much time will it take to learn python like the basic learning having non tech background