Build understanding.
Then put it into practice.
Explore datasets, discover patterns and build predictive models with the Python ecosystem. Explore the program topics below and speak with our team about the next batch, prerequisites and enrollment.
Who should join
Students, graduates and professionals interested in analytics. Our team can help you assess which starting point fits your background.
Skills you’ll gain
Your curriculum, at a glance.
Explore the learning areas in this program.
01Python for Data Science
Learn Python programming fundamentals, data structures, functions, and libraries required for modern Data Science applications.
02Data Analysis & Manipulation
Work with real-world datasets using NumPy and Pandas for data cleaning, preprocessing, transformation, and analysis.
03Data Visualization
Create interactive charts, dashboards, and visual reports using Matplotlib, Seaborn, and Plotly libraries.
04Machine Learning Fundamentals
Learn supervised and unsupervised learning algorithms including regression, classification, clustering, and model evaluation.
05Predictive Analytics
Build predictive models and analyze patterns using machine learning techniques for business intelligence and forecasting.
06Deep Learning Basics
Understand neural networks, deep learning concepts, and AI model building using TensorFlow and Keras frameworks.
07SQL & Database Integration
Learn SQL queries, database management, and integration of Python applications with relational databases.
08Real-Time Data Science Projects
Work on real-time industry projects involving analytics, recommendation systems, forecasting, and intelligent automation.
Projects & practical learning
Work on real-time industry projects involving analytics, recommendation systems, forecasting, and intelligent automation.
Certification
Certification is available upon successful program completion. Ask our team about the requirements for your selected track.
Connect skills to possibilities.
Relevant areas to explore include data science, data analysis and predictive modeling. Career guidance and placement support help you prepare for your next step; employment is not guaranteed.
Industry Mentors
Connect with the Kalpra team for batch-specific mentor and schedule information.
Frequently asked questions
How long is the program?+
The published duration is 14 weeks. Confirm the current schedule and available learning format with our team before enrolling.
Do I need prior experience?+
The right starting point depends on your background and selected program. Talk to our team for prerequisite guidance and a readiness assessment.
How do I enroll?+
Use Enroll Now to visit the existing Kalpra enrollment platform, or contact the team to discuss fees, the next batch and your learning goals.
Is placement support included?+
Kalpra Academy provides career guidance and placement support. Support is not a guarantee of employment; our team can explain what is included in your selected program.