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Created by John Doe
ENGLISH
What You’ll Master
✅ Python & Tools for Data Science
Python Programming: Pandas, NumPy, Matplotlib, and Seaborn.
SQL: Query databases (PostgreSQL, MySQL) for data extraction.
Jupyter Notebooks: Interactive coding and documentation.
✅ Data Wrangling & EDA
Clean messy data (missing values, outliers).
Perform Exploratory Data Analysis (EDA) with statistical summaries.
Feature engineering for ML readiness.
✅ Statistics & Mathematics
Descriptive and inferential statistics (hypothesis testing, p-values).
Linear algebra and calculus essentials for ML algorithms.
✅ Machine Learning & AI
Supervised Learning: Regression, classification (Scikit-learn).
Unsupervised Learning: Clustering (K-Means), PCA.
Deep Learning: Neural networks with TensorFlow/Keras.
NLP: Text processing, sentiment analysis.
✅ Big Data & Cloud
Spark: Distributed data processing.
AWS/GCP: Deploy models on cloud platforms.
Hadoop: Basics of HDFS and MapReduce.
✅ Visualization & Storytelling
Build dashboards with Tableau/Power BI.
Create interactive plots with Plotly.
Present insights to stakeholders effectively.
✅ End-to-End Projects
Predictive analytics (sales forecasting, churn prediction).
Image classification with CNNs.
Recommendation systems (collaborative filtering).
Learn live with top educators, chat with teachers and other attendees, and get your doubts cleared.
Our curriculum is designed by experts to make sure you get the best learning experience.
Interact and network with like-minded folks from various backgrounds in exclusive chat groups.
Stuck on something? Discuss it with your peers and the instructors in the inbuilt chat groups.
With the quizzes and live tests practice what you learned, and track your class performance.
Flaunt your skills with course certificates. You can showcase the certificates on LinkedIn with a click.