Data Analyst

Course Description: This professional-level course is designed for individuals seeking an in-depth understanding of Microsoft Power BI for advanced data analysis and visualization. Participants will gain expertise in transforming complex data into meaningful insights and creating interactive, high-impact reports and dashboards for data-driven decision-making in a corporate setting.

Course Duration: Approximately 16-20 weeks

Prerequisites: Participants should have a strong foundation in data concepts, Microsoft Excel, and prior experience with Power BI is recommended but not mandatory.

Instructor: [Instructor’s Name]

Module 1: Advanced Power BI Introduction (2 weeks)

• Overview of Power BI Pro and Premium
• Power BI architecture and components
• Data sources and integration techniques
• Power Query transformations and M language

Module 2: Data Modeling and DAX (4 weeks)

• Advanced data modeling strategies
• Complex relationships and hierarchies
• Advanced DAX functions and calculations
• Aggregations and table expressions

Module 3: Advanced Data Transformation (2 weeks)

• Data profiling and quality assurance
• Advanced query folding and optimizations
• Dataflows in Power BI
• DirectQuery and Live Connection

Module 4: Advanced Visualizations and Design (3 weeks)

• Custom visuals and extensions
• Data storytelling and interactive reports
• Advanced formatting techniques
• Design principles for effective data communication

Module 5: Advanced Analytics and Insights (3 weeks)

• Time intelligence and advanced time-based calculations
• Predictive analytics with Power BI
• Clustering and anomaly detection
• Advanced slicers, filters, and cross-filtering

Module 6: Power BI Administration and Security (2 weeks)

• Power BI Gateway management
• Data refresh optimization and troubleshooting
• Implementing Row-Level Security
• Power BI embedding and APIs

Module 7: Power BI in the Enterprise (2 weeks)

• Power BI Premium and Premium Per User
• Scaling and performance optimization
• Deployment strategies and best practices
• Managing large datasets and Big Data integration

Module 8: Real-World Projects and Case Studies (2 weeks)

• Working on real corporate datasets
• Data analysis and visualization of industry-specific data
• Building comprehensive corporate dashboards
• Project presentations and peer reviews

Module 9: Certification and Final Assessment (1 week)

• Course review, Q&A session, and exam preparation
• Final project presentation and evaluation
• Certification and course completion ceremony

Additional Resources and Support:

• Weekly live webinars with industry experts.
• Access to a dedicated online learning platform with discussion forums and collaboration tools.
• A library of advanced Power BI resources, articles, and case studies.
• Access to a virtual lab environment for hands-on practice.

Assessment Methods:

• Weekly assignments, quizzes, and group projects.
• Participation in discussions and peer assessments.
• A final exam and a capstone project.

Certification: Upon successful completion of the course and the final assessment, participants will receive a certification in “Professional Power BI Data Analysis and Visualization.”

Note: The course outline is designed to cater to professionals and may be adjusted to meet the specific needs and skill levels of the participants. Hands-on experience and real-world corporate projects are emphasized to provide practical skills for the workplace.

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Course Title: Professional Tableau Data Analysis and Visualization

Course Description: This professional-level Tableau course is designed to equip participants with advanced skills in data analysis and visualization. It focuses on transforming raw data into actionable insights, building interactive dashboards, and leveraging Tableau’s advanced features for making data-driven decisions in a corporate environment.

Course Duration: Approximately 16-20 weeks

Prerequisites: Participants should have a solid foundation in data concepts, basic familiarity with Tableau, and experience in data analytics.

Instructor: [Instructor’s Name]

Module 1: Advanced Tableau Introduction (2 weeks)

• Overview of Tableau Desktop and Server
• Advanced data connection and data source management
• Custom calculations and parameters
• Utilizing Tableau in a corporate environment

Module 2: Data Preparation and Transformation (4 weeks)

• Data profiling and data quality best practices
• Data blending and data joining
• Advanced data transformation with Tableau Prep
• Efficient data source management and version control

Module 3: Advanced Visualizations (3 weeks)

• Creating complex charts and graphs
• Advanced mapping and geographic visualizations
• Customizing visualizations with calculated fields
• Building interactive visualizations for insights

Module 4: Advanced Dashboard Design (3 weeks)

• Principles of effective dashboard design
• Advanced dashboard layout and design best practices
• Dashboard actions and interactivity
• Storytelling with data in Tableau

Module 5: Advanced Calculations and Analytics (3 weeks)

• Advanced table calculations
• Forecasting and trend analysis
• Implementing R and Python scripts in Tableau
• Advanced aggregation and LOD expressions

Module 6: Data Integration and Security (2 weeks)

• Connecting to data from various sources
• Data blending and data reshaping
• Implementing user-level security and row-level security
• Managing data refresh and extracts

Module 7: Advanced Topics (2 weeks)

• Extending Tableau with APIs and integrations
• Tableau Server and Online administration
• Tableau Prep and data automation
• Introduction to Tableau Mobile and Embedded Analytics

Module 8: Real-World Projects and Case Studies (2 weeks)

• Working on real corporate datasets
• Data analysis and visualization of industry-specific data
• Building comprehensive corporate dashboards
• Project presentations and peer reviews

Module 9: Certification and Final Assessment (1 week)

• Course review, Q&A session, and exam preparation
• Final project presentation and evaluation
• Certification and course completion ceremony

Additional Resources and Support:

• Weekly live webinars with industry experts.
• Access to a dedicated online learning platform with discussion forums and collaboration tools.
• A library of advanced Tableau resources, articles, and case studies.
• Access to a virtual lab environment for hands-on practice.

Assessment Methods:

• Weekly assignments, quizzes, and group projects.
• Participation in discussions and peer assessments.
• A final exam and a capstone project.

Certification: Upon successful completion of the course and the final assessment, participants will receive a certification in “Professional Tableau Data Analysis and Visualization.”

Note: The course outline is designed to cater to professionals and may be adjusted to meet the specific needs and skill levels of the participants. Practical experience and real-world corporate projects are emphasized to provide tangible skills for the workplace.

Top of Form

Course Title: Professional Microsoft Excel Data Analysis and Visualization

Course Description: This professional-level Excel course is tailored for individuals seeking advanced skills in data analysis and visualization using Microsoft Excel. Participants will gain expertise in harnessing Excel’s capabilities to transform data into meaningful insights and craft interactive reports and dashboards.

Course Duration: Approximately 16-20 weeks

Prerequisites: Participants should have a strong foundation in basic Excel functionalities and data analysis concepts.

Instructor: [Instructor’s Name]

Module 1: Advanced Excel Introduction (2 weeks)

• Overview of Excel’s advanced features
• Data analysis tools in Excel
• Introduction to PivotTables and Power Query
• Advanced data analysis techniques in Excel

Module 2: Data Preparation and Transformation (4 weeks)

• Data cleansing and data quality management
• Advanced data transformation using Power Query
• Combining and shaping data from multiple sources
• Creating reusable data transformation scripts

Module 3: Advanced Visualizations (3 weeks)

• Building complex charts and graphs in Excel
• Advanced chart formatting and customization
• Interactive dashboards with Excel forms and controls
• Creating dynamic charts and graphs

Module 4: Dashboard Design (3 weeks)

• Principles of effective dashboard design
• Advanced dashboard layout and design best practices
• Creating interactive and user-friendly dashboards
• Storytelling with data in Excel

Module 5: Advanced Formulas and Functions (3 weeks)

• Complex formula construction
• Using advanced functions like INDEX, MATCH, and VLOOKUP
• Array formulas and their applications
• Developing user-defined functions in Excel

Module 6: Data Integration and Security (2 weeks)

• Connecting Excel to external data sources
• Data consolidation and combining data from multiple worksheets
• Data validation and data integrity in Excel
• Data sharing and user-level security

Module 7: Advanced Data Analysis (2 weeks)

• Advanced statistical analysis in Excel
• What-if analysis and scenario manager
• Using Solver for optimization problems
• Developing decision support models in Excel

Module 8: Advanced Topics (2 weeks)

• Excel’s integration with Power BI and other tools
• Automation and macros with VBA
• Data analysis using Excel add-ins
• Advanced data visualization best practices

Module 9: Real-World Projects and Case Studies (2 weeks)

• Working on real-world datasets
• Data analysis and visualization of industry-specific data
• Building comprehensive dashboards and reports
• Project presentations and peer reviews

Module 10: Certification and Final Assessment (1 week)

• Course review, Q&A session, and exam preparation
• Final project presentation and evaluation
• Certification and course completion ceremony

Additional Resources and Support:

• Weekly live webinars with industry experts.
• Access to a dedicated online learning platform with discussion forums and collaboration tools.
• A library of advanced Excel resources, articles, and case studies.
• Access to a virtual lab environment for hands-on practice.

Assessment Methods:

• Weekly assignments, quizzes, and group projects.
• Participation in discussions and peer assessments.
• A final exam and a capstone project.

Certification: Upon successful completion of the course and the final assessment, participants will receive a certification in “Professional Microsoft Excel Data Analysis and Visualization.”

Note: The course outline is designed to cater to professionals and may be adjusted to meet the specific needs and skill levels of the participants. Practical experience and real-world corporate projects are emphasized to provide tangible skills for the workplace.