Praxis Business School and TalentSprint Present
Ideal for Managers, Delivery Leaders, Consultants, and
"Data Analytics Jobs Expected to Double in 2018"
~ Angela Ahrendts, Apple
As a professional working in the industry you are already a data scientist, whether you are designated as such or not. Extracting critical insights from a massive amount of data to take an informed decision will no longer be the domain of IT department. It will pervade across Marketing, Sales, Manufacturing, Finance, Human Resource and every other function in the business which is called upon to add value to business.
As a manager who is keen to contribute and grow, your ability to provide such insights from the data will differentiate you from other managers and thus drive your growth. Learn the fundamentals of data science and also the cutting edge tools and applications that will help you unlock the data to reveal new insights and opportunities for you.
~ Amod Malviya, CTO, Flipkart
~ Max Levchin, Co-Founder, PayPal
~ Pat Gelsinger, CEO, VMware
~ Geoffrey Moore, American organizational theorist
~ Tim O’Reilly, Founder, O'Reilly Media
~ Vinod Khosla, American-Indian engineer
Data Science as a discipline is now an evolving feature in every organisation. Be it Predicting Lifetime Value (LTV), Demand Forecasting, Credit Risk Evaluation, Talent Management, Prescription Compliance of Patients, Detecting Credit Card Fraud, Location of New Stores or Claims Prediction in Insurance, Virtually every Industry and every Management function uses Data Science.
The Data Science for Managers helps professionals in every field, Financial, Marketing, Retail, Security, Pharma et al, to leverage Predictive Statistics and Machine Learning Toolchain to solve real business problems.
Leverage Predictive Statistics and Machine Learning Toolchain to solve real business problems
Overview of Data Science
Data Science Life Cycle
Introduction to Python | Jupyter
Statistics with Python | Scipy.stats
Data Management and Visualization | Python with Pandas/Matplotlib
Introduction to Machine Learning | Scikit.learn
Clinical Research | Hypothesis Testing
Measuring Advertising Effectiveness | ANOVA
Marketing Mix Modelling | Regression
Consumer Psychographics | PCA
Churn Prediction | Logistic Regression
Forecasting | Time Series Analysis
Predictive Model Design and Interpretation
Customer Segmentation | K Means
Credit Rating, Churn Prediction, Attrition Management
Sentiment Analysis | Social Media Analytics
Recommendation Systems | Association Rules/Market Basket
Stock Market Prediction | ANN
Intrusion Detection | Spark
Data Mining Tools
You can apply for this Program only on this website. There are limited seats for this batch and selection is based on review of your application and telephone interview.
Please call Program Counsellors for any further clarifications
Bharati @ +91 99531-51727
He is listed as one of the 10 prominent analytics academicians in India
Has spent two decades in the corporate world in areas as diverse as Cryogenics
Has close to 2 decades of industry and 5 years of teaching experience.
Has been one of the most prominent market researchers of the country in the last decade
Has worked in the industry for 4 years in Planning and Operations at HPCL
Admissions are based on application review and telephonic
interview on first-come-first-served basis.