Assignments & Capstone
Weekly Live Faculty Sessions
Industry Projects
1:1 Coaching & Mentoring
Career Labs
Hiring Talentathons
Next Cohort Starts
Industry recognised certification in Data Science and Business Analytics
Program Designed for
Access to multiple
job openings
Personalized Resume & LinkedIn review
Guidance from Industry Practitioners
Career Planning & Mock Interviews
Top Skills You Will Learn
Business Problem Framing, Insight mining, Business Inferencing using statistical techniques, Business Analytics, Exploratory Data Analytics and Feature Engineering, Prescriptive & Predictive Analytics, Data Analytics with Python, 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.
Minimum Eligibility
■ The applicant should have at least 1 year of work experience in a technical or business-related space and an undergraduate degree.
■ Prior knowledge of programming is not mandatory but preferred.
Job Opportunities
Data Analyst, Data Science Manager, Entry-level Data Scientist, Business Analyst, Technical Product Manager, Marketing Analyst, Quality Analyst.
Tools Covered
Data Analytics 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.
Data Science and Business Analytics 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 Courses for Entrepreneurs in 2019. (Top 10 since 2007; No. 1 in 2008, 2010 and 2011)
Course audited and approved by the Bauer College.
Syllabus
Data Science and Business Analytics Courses created and curated by industry CXOs with case studies, simulations, real-life projects, assignments and personalized coaching.
Core Courses
Course 1: DSC401F - Data Analytics Foundations
■ Descriptive Statistics & Probability
■ Inferential Statistics & Hypothesis Formulation using methods like T-test, ANOVA, Chi-Square
■ Sampling distributions, estimation
■ Simple, Multivariate regression & Time Series
■ A/B Testing
■ Goodness of Fit
■ Introduction to DBMS
■ ER diagram
■ Schema design
■ Key constraints & basics of normalization
■ Joins
■ Subqueries involving joins & aggregations
■ Sorting
■ Independent subqueries
■ Correlated subqueries
■ Analytic functions
■ Set operations
■ Grouping and filtering
■ SQL Aggregate & Rank Functions
■ SQL Analytics Functions
Course 2: BAN403F - Business Problem Framing
■ Understanding, Framing the Problem, and Formulating a Hypotheses
■ Asking the Right Question
■ Framework for Problem Formulation
■ Transformative Problem Formulation
■ Business Problem Solving with Data Science
■ Scoping your Solution
■ Planning the Analysis
■ What is Data Collection?
■ Sources of Data
■ Methods of Data Collection
■ Process of acquiring, collecting, extracting, and storing
Course 3: DSC402F - Data Science Techniques
■ Overview
■ What is EDA?
■ The EDA Workflow
■ Characterizing Data
■ Univariate and Multivariate Distribution Plots
■ Univariate and Multivariate Comparison Plots
■ Univariate and Multivariate Composition Plots
■ Structuring your Report
■ Extracting Features
■ Demo Principal Component Analysis
■ Factor Analysis
■ Clustering
■ Selecting Features
■ Engineering Features
■ Importing Datasets
■ Cleaning the Data (Data Wrangling)
■ Data frame manipulation. (Exploratory Data Analysis)
■ Summarizing the Data
■ Model Development & Evaluation (optional)
Course 4: DSC403F - Predictive and Prescriptive Analytics for Business Decision Making
Introduction to Time Series
■ Correlation
■ Forecasting
■ Autoregressive Moving
Average (ARMA) models
■ Autoregressive Integrated
Moving Average(ARIMA) models
■ Simple Linear Regression and Multiple Linear Regression
■ Regression Fundamentals
■ The linear regression equation
■ Linear Regression explained
■ Linear Regression with independent variable
■ Interpreting R -Squared
■ Evaluating Model Performance
■ Key assumptions of Linear Regression
■ Residual Analysis
■ Statistical tests to validate assumptions
■ Correlation and Causation
■ Heat map and Scatter plots
■ Multiple Linear Regression use case
■ Interpreting regression outputs
■ Regression use cases
Course 5: BAN401F - Visualization and Storytelling
Introduction to Data Visualization
■ Visualization in Business Analytics
■ Introduction to Tableau
■ Basic charts and dashboard
■ Descriptive Statistics, Dimensions and Measures
■ Visual analytics
■ Dashboard design & principles
■ Advanced design components/ principles: Enhancing the power of dashboards
■ Special chart types
■ The Art of Storytelling in Business Analytics & Data Science
■ Effective Data Storytelling for Business Impact
■ Storytelling and the Human Brain
■ Brining Data to Life: Emotions and Data Storytelling
■ Emotion Modulators: Color, Language and Other Design Elements
■ Story Considerations
■ Preparation of the story points
■ Setting up the story
■ Create a data story in a static presentation
Elective Courses (Optional)
Electives are recommended add-on courses for those who want to have a broader coverage
Product Analytics and Metrics
■ Product analytics definition
■ Differences between product and “classic” web analytics
■ Common questions and mistakes
■ Where, when, and how to collect data correctly
■ Data formatting and standards
■ Implications of incorrect data
■ Overview of the tools available
■ Gathering requirements and defining use cases
■ Evaluating tools for your use cases
■ Customer Acquisition Cost, Customer Lifetime Value, Churn Rate
■ Leading vs. lagging metrics
■ Benefits and drawbacks of core metrics
■ SaaS Metrics
■ How to understand users
■ Cohort creation and analysis
■ Sample user-based metrics used in product analytics
■ A selection of metrics for product analytics
■ Setting up reporting and fundamental data visualization principles
■ Setting up monitoring
Social and Web Analytics
■ Which metrics can be monitored
■ Which metrics matter and how they’re related
■ How marketing strategy or editorial decisions are effected by web data
■ Why SEO is relevant
■ Introducing: Social Media Measurement
■ Social Media Analytics: Subscribers, Engagement, Reach, Velocity and Sentiment
■ Measuring Likes and Followers and Subscribers on Facebook, Twitter, Instagram
■ What is Engagement and How to Measure Engagement on Facebook & Twitter
■ Reach – Can Actual Exposure and Reach be Measured on Facebook and Twitter?
■ Post success – impressions, reach, engagement and the difference between them.
■ Understanding Engagement – engagement metrics and how they relate to strategy.
■ Tracking and understanding audiences – who are your followers and why, what is their reach and how it affects strategy.
■ Downloading reports – how to track and measure analytics month-on-month.
■ Tweet impressions v engagement and how to track success.
■ Follower data and how to apply that to strategy.
■ Velocity in Social Media – Facebook Virality and Twitter Trends
■ Marketing Intel and Social Media Measurement: Analytics and Psychographics
■ Measuring ROI (Return on Investment) and the Ecosystem of Apps, widgets, mashups
Typical Learning Path for each course
Average Days to complete each course
Instructors & Mentors
Learn from India’s leading Product Practitioners.
Industry Projects and Assignments
Learn through real-life projects and assignments across industries
Program Advantage
Strong hand-holding with dedicated support to guide you in your journey in Data Science and Business Analytics.
Career Impact
Average Salary Hike
Corporate Partners
Career Transitions
Highest Salary
Career Impact
Corporate
Partners
Highest
Salary
Avg Salary
Hike
Career
Transitions
Our Students work at
Account activates
within 10 mins
Upfront Payment
0% EMI
Our Students work at
Upfront Payment
EMI
Account activates
within 10 mins