Data Analytics with Python
Leverage Pandas, NumPy, Matplotlib, and SQL to extract actionable insights from complex datasets.
Duration4 Months
LevelIntermediate
Curriculum9 Modules
01
expand_morePython Refresher
Python Basics, Functions, OOP
02
expand_moreNumPy
Arrays, Operations, Mathematical Functions
03
expand_morePandas
DataFrames, Data Cleaning, Data Transformation
04
expand_moreData Visualization
Matplotlib, Seaborn, Interactive Charts
05
expand_moreStatistics
Mean, Median, Mode, Standard Deviation, Probability
06
expand_moreExploratory Data Analysis (EDA)
Missing Values, Outlier Detection, Correlation Analysis
07
expand_moreSQL for Analytics
Queries, Joins, Aggregations, Window Functions
08
expand_moreDashboard Development
Power BI, Tableau, KPI Dashboards
09
expand_moreReal Projects
Sales Analysis, Customer Analysis, Business Reporting