Data Science with Python
Focused on Python-powered data science, this course teaches Pandas, ML, DL, and data storytelling, ideal for analysts and aspiring data scientists.
Modules
- Pandas Dataframes
- Data Cleaning
- Visualization with Seaborn/Matplotlib
- Descriptive Stats
- Hypothesis Testing
- ANOVA
- Regression
- Classification
- Model Metrics & Tuning
- K-means
- Clustering
- PCA
- Neural Networks with Keras
- Building ANN/CNN Models
- Forecasting Models
- Sentiment & Text Analysis
- Finance/Data/Operations Analytics Projects
Industry Insights
90%
Industry Relevance
High
Market Demand
8 LPA+
Avg. Salary
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Your Learning Roadmap
Follow this path to mastery. Our AI guide leads the way.
Python Foundations
20 hrsData manipulation, cleaning, and visualization
Statistics & EDA
18 hrsStatistical analysis and exploratory data analysis
Supervised ML
22 hrsRegression and classification models
Unsupervised ML
16 hrsClustering and dimensionality reduction
Deep Learning Intro
20 hrsNeural networks using Keras
Time Series & NLP
16 hrsForecasting and text analysis
Capstone Projects
24 hrsHands-on real-world data projects
Why specialize in Python for Data Science?
- Python is the preferred language of data professionals globally.
- Tools like Pandas, Scikit-Learn, and Keras power real-world analytics workflows.
- Learn to build data-rich applications, dashboards, and ML models end-to-end.
- Boost employability in data-driven roles with portfolio-ready projects.