Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
Data science has evolved into the most technologically advanced domain which has become a part of every organization. It is basically an interdisciplinary domain that uses multiple algorithms, scientific methods, processes, and systems to get the required knowledge from complex, structured, or unstructured data. Data being the most important thing in organizations must be protected and considered before taking any business development decisions. The course Become A Data-Driven Leader is a post-graduate program in data science and business analytics. It is provided by the IPL School of Data Science to all the students who wish to build their careers as data scientists or business analysts.
International Certification Program In Data Science And Business Analytics training is given by industry experts through online mode and there also be weekly interactive classes with one-to-one assistance from the faculty. This course is of 5 months duration and the candidate will be exposed to multiple projects and assignments for the overall development. The candidates can avail of multiple benefits through the portal for making learning easy and interesting. The enrolled students will also get International Certification Program In Data Science And Business Analytics certification from the IPL School of Data Science.
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The Highlights
- 5 months duration
- 5 capstone projects
- Weekly live sessions by experts
- Learning with library toolkits
- One-to-one mentorship
- Career Assistance
- Access to career labs
Programme Offerings
- 7 Months Duration
- Certification
- One-to-one mentorship
- weekly faculty sessions
- Career Assistance
- learning library with toolkits
- hiring talentathons
- CATAPULT data career labs
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Institute of Product Leadership, Bangalore |
The IPL School of Data Science is allowing fees through credit card, debit card, and internet banking. Interested students can enroll in the course by clicking on the ‘Enroll Now’ button available on the homepage of the website.
Fee structure of International Certification Program In Data Science And Business Analytics
Name of the course | Fee in USD |
International Certification Program In Data Science And Business Analytics | $ 1299 |
Eligibility Criteria
Work Experience
- The candidate enrolling in International Certification Program In Data Science And Business Analytics should have at least 1 year of working experience in technical or business-related fields.
Certification Qualifying Details
- International Certification Program In Data Science And Business Analytics is awarded by the IPL School Data Science to all the learners who shall complete the course. Enrolled candidates should complete the projects and assignments on time. The certification will open gates of opportunities in the domain of data science and business analytics.
What you will learn
International Certification Program In Data Science And Business Analytics certification syllabus is comprehensive and it is designed for the overall development of the learners. The course comprises 5 sub-courses in it for making learners proficient in the domain of data science and business analytics. Moreover, the candidate will gain skills in tools like Python, tableau, Microsoft-SQL-server, Jupyter, and excel.
The candidates will learn the following concepts during the course and shall become proficient in the domain.
- Business Problem Framing,
- Business Inferencing using statistical techniques,
- Insight Mining,
- Business Analytics,
- Prescriptive & Predictive Analytics,
- Exploratory Data Analytics and Feature Engineering,
- Data Visualization, and Storytelling.
- Data Analytics with Python.
Who it is for
International Certification Program In Data Science And Business Analytics benefits the people who have the required experience and wish to pursue data science and business analytics for their careers. The course shall also help people who are working on the following designations by enhancing their skills and knowledge.
- Data Analyst,
- Data Science Manager,
- Technical Product Manager,
- Data Scientist (beginners),
- Marketing Analyst,
- Business Analyst,
- Quality Analyst.
Admission Details
To enroll yourself in the International Certification Program In Data Science And Business Analytics online course. Follow the steps mentioned below.
Step 1: Visit the portal of the IPL School of Data Science and search for the course, or directly click on the link to land on the page https://www.productleadership.com/programs/post-graduate-program-data-science-and-business-analytics/.
Step 2: The screen with the detailed introduction of the course shall be displayed on the IPL School of Data Science portal.
Step 3: Click on the tab “Apply Now” and sign up for the course.
Step 4: Complete the enrollment process by paying the Become A Data-Driven Leader certification fee.
Step 5: Start learning by attending Become A Data-Driven Leader classes.
The Syllabus
Course 1: DSC401F - Data Analytics Foundations
- Statistical Data Analysis in Excel
- 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
- Data Analysis using SQL
- 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
- Problem Formulation
- Understanding, Framing the Problem, and Formulating a Hypotheses
- Asking the Right Question
- Framework for Problem Formulation
- Transformative Problem Formulation
- Business Problem as a Data Science Problem
- Business Problem Solving with Data Science
- Scoping your Solution
- Planning the Analysis
- Sourcing and Collecting Data
- What is Data Collection?
- Sources of Data
- Methods of Data Collection
- Process of acquiring, collecting, extracting, and storing
Course 3: DSC402F - Data Science Techniques
- Exploratory Data Analytics and Feature Engineering
- 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
- Data Analytics with Python
- 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
- Time Series Forecasting
- Introduction to Time Series
- Correlation
- Forecasting
- Autoregressive Moving
- Average (ARMA) models
- Autoregressive Integrated
- Moving Average(ARIMA) models
- Simple and Linear Multiple Regression
- 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
- Data Visualization
- 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
- Storytelling with Data
- The Art of Storytelling in Business Analytics & Data Science
- Effective Data Storytelling for Business Impact
- Storytelling and the Human Brain
- Bringing 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
Product Analytics and Metrics
- Introduction to Product Analytics
- Product analytics definition
- Differences between product and “classic” web analytics
- Common questions and mistakes
- Data Collection
- Where, when, and how to collect data correctly
- Data formatting and standards
- Implications of incorrect data
- Tools for Analysis
- Overview of the tools available
- Gathering requirements and defining use cases
- Evaluating tools for your use cases
- Metrics
- Customer Acquisition Cost, Customer Lifetime Value, Churn Rate
- Leading vs. lagging metrics
- Benefits and drawbacks of core metrics
- SaaS Metrics
- User and Cohort Analysis
- How to understand users
- Cohort creation and analysis
- Sample user-based metrics used in product analytics
- Reporting and Monitoring Product Metrics
- A selection of metrics for product analytics
- Setting up reporting and fundamental data visualization principles
- Setting up monitoring
Social and Web Analytics
- Web Analytics: Understanding the metrics
- 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
- 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?
- Social Media: Facebook Insights
- 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.
- Social Media: Twitter Analytics
- Tweet impressions v engagement and how to track success.
- Follower data and how to apply that to strategy.
- Return on Investment
- 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
Instructors
Institute of Product Leadership, Bangalore Frequently Asked Questions (FAQ's)
The duration of the course is 5 months.
A total of 5 projects should be completed by the candidates within the time frame of the course.
The candidate should have one year of experience in a technical or business-related domain.
The course is in the English language.
Yes, the candidate shall have access to all the reading material for a lifetime.