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

Subscribe ‪@techtip24‬

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