Unlocking Data-Driven Decision Making: Mastering Business Analytics and Visualization with Python and Tableau
Course Overview In this comprehensive course, you will master the skills needed to drive business success through data-driven decision making. Using Python and Tableau, you will learn to analyze and visualize data, uncover insights, and communicate findings to stakeholders. Upon completion, you will receive a certificate issued by The Art of Service.
Course Curriculum Module 1: Introduction to Business Analytics and Visualization
- Defining business analytics and its importance
- Understanding data visualization and its role in decision making
- Overview of Python and Tableau for business analytics
- Setting up the environment: installing Python and Tableau
Module 2: Data Fundamentals
- Data types and structures: numbers, text, and dates
- Data sources: databases, files, and web scraping
- Data cleaning and preprocessing: handling missing values and outliers
- Data transformation and aggregation: grouping and pivoting
Module 3: Data Analysis with Python
- Introduction to Pandas: data manipulation and analysis
- Data filtering, sorting, and grouping
- Data merging and joining
- Data visualization with Matplotlib and Seaborn
Module 4: Data Visualization with Tableau
- Introduction to Tableau: connecting to data sources
- Creating visualizations: charts, tables, and maps
- Customizing visualizations: colors, fonts, and layouts
- Creating interactive dashboards: filters, drill-downs, and tooltips
Module 5: Business Analytics Applications
- Customer analysis: segmentation, clustering, and profiling
- Market analysis: trend analysis, forecasting, and competitor analysis
- Financial analysis: ratio analysis, budgeting, and forecasting
- Operations analysis: supply chain optimization, inventory management, and quality control
Module 6: Advanced Topics in Business Analytics
- Machine learning: supervised and unsupervised learning
- Text analytics: sentiment analysis, topic modeling, and text mining
- Big data analytics: Hadoop, Spark, and NoSQL databases
- Cloud computing: AWS, Azure, and Google Cloud
Module 7: Communication and Storytelling
- Effective communication: presenting insights to stakeholders
- Storytelling with data: narrative structure and visualizations
- Creating reports and dashboards: best practices
- Collaboration and feedback: working with stakeholders
Module 8: Final Project and Assessment
- Final project: applying business analytics and visualization skills
- Assessment and feedback: peer review and instructor feedback
- Course wrap-up: next steps and continued learning
- Certificate issuance: The Art of Service
Course Features - Interactive and Engaging: hands-on projects, quizzes, and discussions
- Comprehensive and Personalized: tailored learning paths and feedback
- Up-to-date and Practical: real-world applications and case studies
- High-quality Content: expert instructors and curated resources
- Certification: issued by The Art of Service upon completion
- Flexible Learning: self-paced, mobile-accessible, and user-friendly
- Community-driven: discussion forums and peer feedback
- Actionable Insights: apply skills to real-world projects and scenarios
- Hands-on Projects: practice and reinforce new skills
- Bite-sized Lessons: manageable chunks of learning
- Lifetime Access: continued learning and reference
- Gamification and Progress Tracking: stay motivated and on track
Module 1: Introduction to Business Analytics and Visualization
- Defining business analytics and its importance
- Understanding data visualization and its role in decision making
- Overview of Python and Tableau for business analytics
- Setting up the environment: installing Python and Tableau
Module 2: Data Fundamentals
- Data types and structures: numbers, text, and dates
- Data sources: databases, files, and web scraping
- Data cleaning and preprocessing: handling missing values and outliers
- Data transformation and aggregation: grouping and pivoting
Module 3: Data Analysis with Python
- Introduction to Pandas: data manipulation and analysis
- Data filtering, sorting, and grouping
- Data merging and joining
- Data visualization with Matplotlib and Seaborn
Module 4: Data Visualization with Tableau
- Introduction to Tableau: connecting to data sources
- Creating visualizations: charts, tables, and maps
- Customizing visualizations: colors, fonts, and layouts
- Creating interactive dashboards: filters, drill-downs, and tooltips
Module 5: Business Analytics Applications
- Customer analysis: segmentation, clustering, and profiling
- Market analysis: trend analysis, forecasting, and competitor analysis
- Financial analysis: ratio analysis, budgeting, and forecasting
- Operations analysis: supply chain optimization, inventory management, and quality control
Module 6: Advanced Topics in Business Analytics
- Machine learning: supervised and unsupervised learning
- Text analytics: sentiment analysis, topic modeling, and text mining
- Big data analytics: Hadoop, Spark, and NoSQL databases
- Cloud computing: AWS, Azure, and Google Cloud
Module 7: Communication and Storytelling
- Effective communication: presenting insights to stakeholders
- Storytelling with data: narrative structure and visualizations
- Creating reports and dashboards: best practices
- Collaboration and feedback: working with stakeholders
Module 8: Final Project and Assessment
- Final project: applying business analytics and visualization skills
- Assessment and feedback: peer review and instructor feedback
- Course wrap-up: next steps and continued learning
- Certificate issuance: The Art of Service