Become a Data Science & AI Professional. Python • Machine Learning • PowerBI • TensorFlow
Duration
3 Months
Focus
AI & ML
From Raw Data to Predictive AI Models.
Master Python syntax for automation, NumPy for numerical computing, and Pandas for large-scale data manipulation. Build a strong foundation in probability and stats.
Perform Exploratory Data Analysis (EDA) and visualize insights using Matplotlib and Seaborn. Master PowerBI/Tableau for live business dashboards.
Implement Supervised and Unsupervised learning with Scikit-learn. Master Regression, classification, and clustering on real-world datasets.
Work on Neural Networks, NLP, and Computer Vision using TensorFlow/PyTorch. Complete a live industry project and launch your AI career.
Core Python, data structures, and libraries like NumPy and Pandas for data manipulation.
Scikit-Learn for building models: Regression, SVM, Decision Trees, and Random Forests.
Creating interactive dashboards and storytelling with data visualization.
Neural Networks, CNNs, and RNNs using TensorFlow and Keras.
Querying databases with SQL and introduction to Big Data tools like Spark.
Hypothesis testing, probability distributions, A/B testing, and regression analysis.
Quick answers to common questions about Data Science
Total Course Fee
Limited seats for upcoming Data Science batch