Executive Program in Data Science and Machine Learning

Executive Program in Data Science and Machine Learning is one of the most advanced certificates available to those in the field of business.Comprehensive curriculum covering concepts such as Inferential Statistics, Machine Learning, Predictive Modeling, Framework to Artificial Intelligence & Business Strategy, Data-driven story telling. Programming tools and languages such as Python, SQL, Excel and Tableau. Personalized small group coaching sessions for a group of 8/10 students from Industry Mentors. Top skills student will be learning are: Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Predictive Modelling, Business Problem Solving, Deep Learning.

Learning outcomes

1. Develop your knowledge of the most popular analytics tools and technologies such as Tableu, Python, MySql, Excel Jupyter, Keras, NumPy, Pandas, matplotlib, Seaborn, NLTK and sckit Learn.
2. Develop the capacity to use analytics and data science to solve business problems on your own with 400+ hours of course content and 70+ hours of Live Lectures.
3. Learn about Data Science uses and ramifications in various Industries like BFSI, Retail, E-commerce and Healthcare.
4. Learn how to extract key business insights from data and convey them to stakeholders in a clear and concise manner.
5. Create models that forecast future trends and utilise them to guide business decisions. Apply the cutting edge ML algorithms to develop solutions for real life business problems.
6. Design the AI strategy for your vertical and evaluate the various factors involved in its implementation.

Who Is This Program For

• Software Engineers who wish to enter DS
• Mid Level IT professionals
• Non Technical Business Analysts
• Marketing/ Healthcare/ Domain based professionals who wish to apply analytics
• Early career technologists with understanding of math and basic logic for programming

• The program design and curriculum assume an undergraduate education has been earned by the learner.
• Associate degree holders can pursue this program.
• Final year students are also eligible to apply.

PK KannanDean's Chair in Marketing Science;PhD in Management, Purdue University; MarketingLauren RhueAssistant ProfessorDecision, Operations and Information Technologies;Ph.D in Information Systems, New York University