Data Science, Analytics, and AI for Business and the Real World

Program Overview

This comprehensive data science program covers all essential aspects of the field, from foundational Python and data analysis tools to advanced machine learning and deep learning techniques. You will learn how to apply data science to real-world business problems, exploring tools like Pandas, Scikit-learn, Keras, and more. Topics include statistics, visualization, predictive modeling, and case studies in marketing and retail. You will also gain hands-on experience with dashboard design, cloud deployment, and machine learning APis using Heroku.

Program Objectives

Python Mastery

Master Python and key libraries like Pandas, NumPy, and SciPy for data manipulation and analysis.

Statistical Foundations

Understand statistical concepts and probability relevant to data science.

Data Visualization

Learn to visualize data using Seaborn, Matplotlib, and Plotly for insightful analysis.

Machine Learning

Explore machine learning and deep learning techniques for predictive modeling and classification.

Business Applications

Analyze real-world business problems in marketing and retail using data science.

API Deployment

Build and deploy machine learning APIs to the cloud using Heroku.

Career Readiness

Gain the practical skills and confidence to pursue a career in data science.

Learning Outcomes

Gain proficiency in Python, Pandas, statistics, and data visualization to clean, analyze, and present data effectively.

Develop, evaluate, and optimize ML models for classification, regression, and clustering, including deep learning and NLP applications.

Apply data science techniques to diverse domains like healthcare, finance, sports, and marketing to drive data-driven decision-making.

Process large datasets using PySpark, build recommendation systems, and perform sentiment analysis on unstructured data.

From exploratory data analysis to model deployment, create production-ready solutions with dashboards and actionable insights.

Key Highlights

                                 
                                 Comprehensive curriculum covering Python, Pandas, statistics, and machine learning.
                              

Hands-on setup with Google Colab and real-world datasets.

Master data analysis with probability theory and hypothesis testing.

Build interactive dashboards using Google Data Studio.

Practical machine learning including supervised & unsupervised learning.

Deep dive into NLP, recommendation systems, and big data analytics.

                                 
                                 Real-world case studies (US elections, COVID-19, sports analytics, business scenarios).
                              

Industry applications (customer churn, fraud detection, marketing analytics).

Advanced topics like deep learning, PySpark, and model deployment.

End-to-end projects from data cleaning to production deployment.

Instructor

Mr. Kiran Sudam Navale

Subject Matter Expert – Data Analytics, AIML & Data Engineering – L&T EduTech

Kiran Navale is an experienced AI Subject Matter Expert and Trainer with a strong background in Data Analytics, Machine Learning, Data Engineering and Cloud Computing. With expertise in Generative AI applications and advanced data analysis, he has designed and delivered impactful training programs tailored for industry professionals and students. Kiran excels at simplifying complex AI concepts, empowering teams to leverage cutting-edge technologies effectively. His work includes developing MOOCs, mentoring interns, and updating curricula to reflect the latest advancements in AI.

Kiran holds a master’s degree in Electronics Engineering with a specialization in VLSI & Embedded Systems and has over a decade of experience as an Assistant Professor. He is also a skilled programmer, proficient in C, CPP, Python, R, SQL, and tools like TensorFlow, GCP, and OpenAI. His certifications in Vertex AI, Big Query, and Neural Networks further highlight his commitment to staying at the forefront of AI and data science. Kiran’s passion for education and innovation makes him an asset in the field of AI and technology training.

Mrs. Usha Nandhini

Subject Matter Expert – Data Engineering & AIML – L&T EduTech

Usha Nandhini S is a seasoned Subject Matter Expert (SME) in Data Engineering, AI, and Machine Learning, with 8+ years of experience in computer programming and 2+ years specializing in data science and generative AI. Currently a Senior SME at L&T EduTech, she designs and delivers cutting-edge training programs in AI, ML, and Big Data Analytics, while developing hands-on capstone projects like IT Course Recommendation Systems. Her expertise spans LLM-powered chatbots (OpenAI, Gemini), NLP, predictive modeling, and MLOps, with a strong focus on industry-relevant applications such as sentiment analysis, object detection, and recommendation engines.

Previously at Jconnect (HCLTech), Usha built AI-driven learning solutions and led corporate training in Generative AI and Prompt Engineering. Her technical prowess covers Python, PySpark, Vector DBs, and cloud platforms (AWS, GCP), alongside advanced data visualization (Power BI, Tableau). A certified trainer in Django, Flask, and SQL/NoSQL, she bridges theory and practice, empowering professionals with scalable data engineering and AI solutions.