Master Business Analytics to Drive Data-Informed Business Strategies
(6-Week Intensive)
Course Duration: 6 Weeks
Mentorship: Industry experts from top tech companies will guide you throughout the course.
Mode of Learning: Online, Self-paced + Weekly Live Sessions
Week 1: Foundations of Business Analytics
- Introduction to Business Analytics: Understanding the role of data in business decision-making, key concepts, and the analytics process.
- Data Collection & Preparation: Methods for collecting data, data cleaning techniques, and data preprocessing.
- Data Visualization: Creating effective charts and graphs to communicate insights from data.
- Project 1: Data Visualization Project: Visualize a given dataset and present key findings.
Outcome: Foundational knowledge of business analytics and data handling.
Week 2: Descriptive Analytics
- Descriptive Statistics: Calculating and interpreting descriptive statistics (mean, median, mode, standard deviation).
- Data Aggregation & Summarization: Techniques for summarizing data and identifying trends.
- Data Exploration: Exploring data using various techniques to discover patterns and relationships.
- Project 2: Exploratory Data Analysis: Conduct an exploratory data analysis on a business dataset.
Outcome: Proficiency in descriptive analytics techniques.
Week 3: Predictive Analytics
- Regression Analysis: Building regression models to predict future outcomes.
- Classification Techniques: Using classification algorithms to categorize data.
- Forecasting: Forecasting future trends using time series analysis.
- Project 3: Predictive Modeling Project: Build a predictive model to solve a business problem.
Outcome: Knowledge of predictive analytics methods.
Week 4: Prescriptive Analytics
- Optimization: Using optimization techniques to find the best solutions to business problems.
- Simulation: Simulating different scenarios to evaluate potential outcomes.
- Decision Analysis: Making data-driven decisions using decision trees and other tools.
- Project 4: Optimization Project: Develop an optimization model to improve a business process.
Outcome: Understanding of prescriptive analytics techniques.
Week 5: Business Intelligence & Reporting
- Business Intelligence: Understanding business intelligence concepts and tools.
- Data Warehousing: Introduction to data warehousing and data modeling.
- Reporting & Dashboards: Creating informative reports and interactive dashboards.
- Project 5: Business Intelligence Dashboard: Develop a business intelligence dashboard to track key metrics.
Outcome: Ability to build business intelligence solutions.
Week 6: Final Project & Career Prep
- Project 6: Final Business Analytics Project: Develop a comprehensive business analytics project for a real or hypothetical business, incorporating all the skills learned throughout the course.
- Career Preparation:
- Portfolio Building: Refine and complete your portfolio with a professional presentation of your projects.
- Interview Prep & Resume Tips: Learn how to showcase your skills, work on technical interview questions, and perfect your resume.
- Industry Insights: Get advice on the latest industry trends, frameworks, and technologies.
Outcome: By the end of the course, you’ll have a strong portfolio and the confidence to apply for jobs in business analytics.
Major Projects:
- Data Visualization Project (Week 1): Core Skills: Data collection, data preparation, data visualization.
- Exploratory Data Analysis (Week 2): Core Skills: Descriptive statistics, data exploration.
- Predictive Modeling Project (Week 3): Core Skills: Regression analysis, classification.
- Optimization Project (Week 4): Core Skills: Optimization, simulation.
- Business Intelligence Dashboard (Week 5): Core Skills: Business intelligence, reporting.
- Final Business Analytics Project (Week 6): Core Skills: Full business analytics lifecycle, project management.
Mentorship at Eduveda Academy:
- Industry Mentor Assignment: You’ll be paired with a mentor from a top tech company who will provide personalized guidance on projects, career advice, and best practices.
- 1-on-1 sessions: For project reviews and troubleshooting.
- Live Q&A Sessions: Weekly with mentors and instructors.
Final Notes:
- Weekly Live Sessions: These will cover key topics, provide updates, and allow you to ask questions.
- Peer Networking: Join the academy Slack group for collaboration and feedback.
This 6-week course is intense but designed to give you all the key skills to jump start your career in business analytics. You’ll leave with solid project experience, a polished portfolio, and the confidence to apply for jobs in the field.
