International Certification in
Data Science Manager - Flex

Become a Data Science Manager. Grow from Data Analysis to Data Science Management

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Program Overview

Key Highlights

"Industry wants to hire professionals who not only understand the depth of data science but can leverage that to business outcomes."

Atul Batra

CTO, Manthan Systems

150+ Hours of Learning

Certification from the University of Houston

15+ Case Studies and Assignments

Exclusive career management cell

1:1 Mentorship from Data Experts

5+ Live Q&A Sessions & 5 Skillathons

Profile building sessions from Hiring Managers

50+ Corporate Partners

Mock Interviews with Data Experts

Access to study material post course.

"Industry wants to hire professionals who not only understand the depth of data science but can leverage that to business outcomes."

Atul Batra

CTO, Manthan Systems

Top Skills You Will Learn

Insight mining, Business Inferencing using statistical techniques, Data Cleaning, and Wrangling, Feature Engineering with emphasis on Feature creation and Data Transformation, Descriptive and Predictive Analytics, Data Visualization and Storytelling.

Who Is This Program for?

Domain Experts, Engineers, Marketing and Sales Professionals, Software and IT Professionals, Project Managers, Product Managers, Business Analysts, Consultants, Entrepreneurs.

Job Opportunities

Data Analyst, Data Science Manager, Entry-level Data Scientist, Business Analyst, Technical Product Manager, Marketing Analyst, Quality Analyst

Minimum Eligibility

1. The applicant should have at least 1 year of work experience in a technical or business-related space and an undergraduate degree.
3. Prior knowledge of programming is not mandatory but preferred.

Top Skills You Will Learn

Managing & Setting up Data Science Teams, Insights Mining, Business Inferencing using statistical techniques, Data Cleaning and Wrangling, Feature Engineering with emphasis on Feature creation and Data Transformation, Descriptive and Predictive Analytics, Data Visualization and Storytelling, Applied ML & AI

Who Is This Program for?

Data Analysts, Business Analysts, Project Managers, Domain & Functional Experts, Data Scientists, Big Data Engineers, Architects, Engineering Managers, Marketing and Sales Professionals, Software and IT Professionals, Product Managers, Management Consultants, Entrepreneurs.

Minimum Eligibility

The applicant should have at least 4 years of work experience in a technical or business-related role
Prior knowledge of programming is not mandatory but passion to learn is mandatory!

Job Opportunities

Data Science Manager, Data Product Manager, Director of Analytics, Director of Data Science, Chief Data Officer, Practice Head

Tools Covered

Data Science Manager Certification Program

Get a certificate issued by the C. T. Bauer College of Business at the University of Houston and Institute of Product Leadership.

Bauer College’s Cyvia and Melvyn Wolff Center for Entrepreneurship ranked No. 2 in U.S. on the Top 25 Best Undergrad Programs for Entrepreneurs in 2019. (Top 10 since 2007; No. 1 in 2008, 2010 and 2011)

Course audited and approved by the Bauer College.

Preparing you for Global Certification

Instructors & Mentors

Learn from India’s leading Product Practitioners.

Amit Sharma

Director - Global AI Accelerator,
Ericsson

Yogesh K. Potdar

Executive Leader,
GE Global Research

Manjunath Subramanian

Senior Principal Product Manager,
Oracle India

Ullas Nambiar

Senior Vice President,
Accenture

Shivaram K R

Co-Founder, CEO
Curl Analytics

Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions

Data Science for Decision Making

■ Data capture, Data augmentation
■ Revenue models & Monetization
■ Segmentation & Clustering
■ Hyper parameter tuning & optimization

Strategy & Art of Story Telling

■ Communication & Presentation Skills with Data Story telling
■ Frameworks to build strategy, drive innovation, vision and roadmapping for Data projects

■ Stakeholder Management , Conflict Management & Negotiations
■ Selling new ideas and mastering the Art of Influencing without Authority

Big Data & Cloud Computing

■ Big data application & strategies
■ Big data engineering
■ Hadoop, Map-Reduce, and Spark
■ Virtual Machines and Cloud Computing

Data Visualization for Insights

■ Correlations, Tree Model, Regressions & more
■ Plotting with Matplotlib, Seaborn
■ Dashboarding & Visualization
■ Business Intelligence with Tableau & Power BI
■ Inferencing & Insights
■ Art of Data Storytelling

Data Science for Digital transformation of Business

■ Strategic planning for digital transformation
■ Digital transformation of culture
■ Handling project budgets and business finance
■ Negotiation & conflict resolution
■ Strategic human capital management

Industry case studies & tools

■ Marketing Analytics, Sales Analytics, Customer Analytics, Social Analytics from Retail, Financial Services, Media, ecommerce and Digital Products
Python, Jupyter Notebooks ,SQL, Excel, Tableau, Power BI

Data Science in Business

■ Working & Building Data Science Teams
■ Building Products with Data Science & AI
■ Cost/benefit tradeoffs
■ Data science Project lifecycle
■ Monetizing & Building Data Science Practices

Data Analytics Foundations

■ Statistical methods for Decision Making
■ Descriptive Statistics & Probability
■ Sampling distributions, estimation
■ Simple, Multivariate regression & Time Series
■ A/B Testing

Prescriptive & Predictive Analytics

■ Feature Engineering
■ Seasonality, Time Series
■ Linear Regression
■ Foundation of Applied Machine Learning/AI

Data ethics frameworks

■ Data & AI ethics
■ Principles of Big data ethics
■ Building digital trust

Machine Learning Models, methods & AI

■ Model evaluation and comparison
■ Core machine learning methods
■ NLP, Text analysis and topic modeling
■ Reinforcement learning
■ Support vector machines
■ AI applications & AI Strategy

Industry Projects and Assignments

Learn through real-life projects and assignments across industries

Analyzing critical parameters of 2224 passengers in the Titanic Crash of 1912 and determining the key data attributes towards their survivability and using probability models to infer and derive insights into the actual 502 deaths.

Looking across 15+ dimension of 2019 sales data from KMart - a large retail store chain in US - how do recommend ideal times to sell, market and advertise specific promotions to maximize footfalls and sales across each city by further analyzing sales trends

Wrangle and Cleanse the historical data of airline ticket prices in India to derive insights by analyzing flight patterns, destinations, days of the week, occupancy and more to recommend a dynamic pricing model to the CEO of Indigo airlines

The ICDSM-Flex Advantage

Strong hand-holding with dedicated support to accelerate your career path as a Data Science Manager

Get Certified in Product Management by Bauer College of Business, University of Houston, USA.

Rigorous syllabus focused on skill building & implementation through projects & presentations. Because assessments are not the best way to judge skillsets.

More focus on industry-relevant case studies and examples rather than theoretical concepts and jargon to help you reach your dream career.

Work on real world industry challenges and projects to build skills and present to hiring managers at skillathons.

Globally Recognized Certification Program

Get Certified in Data Science Management by Institute of Product Leadership, USA.

Assurance of Skills v/s Knowledge

Rigorous syllabus focused on skill building & implementation through projects & presentations to connect the dots of data, business & digital innovation.

Focussed on Career Acceleration

Deeper focus on industry-relevant case studies & Live Industry Projects to build the confidence & connections to accelerate into senior roles.

Learning by Doing

Work on real world industry challenges and projects to build skills and present to hiring managers at skillathons.

Career Impact

I understand the When I first started, I wasn’t well equipped with the knowledge of analysis. This Course has helped me gain industry level data analytics knowledge.

Jared DeselloClass of 2018

My expectations from this Course for data science was greatly exceeded and I am grateful for the opportunity. The instructors were really dedicated and have gotten me inspired to pursue a career in data science.

Georgie BelanisoClass of 2019

The course faculties were extremely knowledgeable and supportive. I learned a lot about not only data science but also how to manage time on a project and communicate it.

Francis Arvin ReyesClass of 2018

Career Impact

Jared DeselloClass of 2018

When I first started, I wasn’t well equipped with the knowledge of analysis. This Course has helped me gain industry level data analytics knowledge.

Georgie BelanisoClass of 2019

The course faculties were extremely knowledgeable and supportive. I learned a lot about not only data science but also how to manage time on a project and communicate it.

Francis Arvin ReyesClass of 2018