Business Analytics using Data Science
Master business analysis with data visualization! Learn Python, Power BI & Tableau for powerful insights & assessments. Practical skills for data-driven decisions.
Course Content
Business Analytics using Data Science is an intermediate-level Udemy course taught by Human and Emotion: CHRMI. It runs 9h 38m, is taught in English, and includes a certificate of completion. Learners rate it 4.8 out of 5 from 13 reviews, with 1,058 students enrolled. It is a paid course, first published November 2024.
Sharpen Your Business Analysis Skills and Drive Organizational Impact
Ready to advance your career? This comprehensive course is designed for aspiring and experienced professionals – from business analysts and business dashboard designers to business managers and business visualization experts. Learn to significantly enhance your effectiveness in business dashboard design, performance metrics, and user development, ultimately making a lasting positive impact within your organization.
What You'll Learn:
- Fundamental Business Analysis Functions: Master the core functions and essential skills for successful business analysis practice.
- Business Analysis Frameworks: Understand the Goals, Overview, Definition, and Categories of Business Analysis, and identify the key stakeholders involved.
- Data Preparation & Reporting: Gain access to ready-to-use templates and formats for detailed business analysis and impactful business dashboard reporting.
- Business Analysis Techniques: Explore various business analysis assessments and learn how to effectively present your findings using practical templates and frameworks.
- Invest in Your Future: Enhance your business analysis skillset and unlock long-term career benefits.
Course Framework: A Practical, Engaging Approach
This course combines engaging video tutorials, real-world case studies, in-depth analyses, downloadable resources, and interactive exercises to provide a holistic learning experience. We cover:
- Business Analysis Fundamentals: Deep dive into the Goals, Overview, Definition, and Categories of business analysis, and the roles and responsibilities of key stakeholders in business dashboard design. We also cover foundational concepts in business data preparation, performance metrics, and user engagement.
- Business Visualization Expertise: Master the core concepts of business visualization, including business data preparation (dashboard requirements), the performance metrics process, effective business dashboard roles and responsibilities, user engagement strategies, and methods for assessing business dashboard effectiveness. Learn to prepare and implement strategies for performance metrics and user development, including techniques for evaluating and enhancing dashboard roles and organizational effectiveness.
- Hands-on Learning: Benefit from multiple case studies, templates, formats, worksheets, reading materials, quizzes, self-assessments, and assignments to solidify your understanding of key business analysis concepts – including business data preparation, performance metrics, user engagement, and business dashboard behavior.
Course Modules:
Part 1: Foundations & Python for Analytics
- Introduction & Study Plan: Get acquainted with the course and its structure.
- Programming Language Basics: A comprehensive introduction to programming, including data cleaning, key packages, and building predictive models.
- Data Visualization with Python & Tableau: Learn to visualize data effectively using Python libraries like Seaborn and Tableau.
- Statistical Analytics Foundation: Understand hypothesis testing and regression analysis for informed decision-making.
- Business Decision Making with Statistics: Apply statistical methods to business planning, monitoring, and communication.
- Strategy & Business Intelligence: Explore strategy analysis, change management, and the use of BI tools.
- Business Process Management: Learn process design, automation, and monitoring techniques.
- Excel Mastery: Develop advanced Excel skills for data analysis and visualization.
- Project Management Basics: Apply data analysis techniques to project planning, data exploration, and result communication.
Part 2: Advanced Analytics & Predictive Modeling
- Data Collection & Management: Practical assignments focused on data collection and management strategies.
- Predictive Analytics: Develop skills in predictive modeling and optimization.
- Customer Churn Prediction: Implement predictive analytics techniques to identify and mitigate customer churn.
Support:
You'll receive dedicated support, with all queries answered within 48 hours.
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