Course Curriculum

Connect to and Transform Data
  • Connect to data sources
  • Choose an appropriate data source
  • Choose between live connection or extract
  • Connect to extracts
  • Connect to spreadsheets
  • Connect to. hyper files (or .tde files)
  • Connect to relational databases
  • Pull data from relational databases by using custom SQL queries
  • Connect to a data source on Tableau Server
  • Replace the connected data source with another data source for an existing chart orsheet
  • Prepare data for analysis
  • Assess data quality (completeness, consistency, accuracy)
  • Perform cleaning operations
  • Organise data into folders
  • Use multiple data sources (establish relationships, create joins, union tables, blenddata) 16. 17. 18. 19. 20. 21. 22. 23.24. 25. 26. 27. 28.
  • Prepare data by using Data Interpreter, pivot, and split
  • Create extract filters
  • Perform data transformation in Tableau Prep
  • Choose which data transformation to perform based on a business scenario
  • Combine data by using unions
  • Combine data by using joins
  • Shape data by using aggregations
  • Perform filtering
  • Shape data by using pivots
  • Customise fields
  • Change default field properties (types, sorting, etc.)
  • Rename columns
  • Choose when to convert between discrete and continuous
  • Choose when to convert between dimension and measure
  • Create aliases
Explore and Analyze Data
  • Create calculated fields
  • Write date calculations (DATEPARSE, DATENAME…
  • Write string functions
  • Write logical and Boolean expressions (If, case, nested, etc.)
  • Write number functions
  • Write type conversion functions
  • Write aggregate functions
  • Write FIXED LOD calculations
  • Create quick table calculations
  • Moving average
  • Percent of total
  • Running total
  • Difference and percent of difference
  • Percentile and Compound growth rate
  • Create custom table calculations
  • Year to date and month to date
  • Year over year
  • Index and Ranking
  • Create and use filter
  • Apply filters to dimensions and measures
  • Configure filter settings including Top N, Bottom N, include, exclude, wildcard, and conditional
  • Add filters to context
  • Apply filters to multiple sheets and data sources
  • Create parameters to enable interactivity
  • In calculations With filters With reference lines
  • Structure the data Sets Bins Hierarchies Groups
  • Map data geographically
  • Create symbol maps
  • Create heat maps and density maps
  • Create choropleth maps.
  • Summarise, model, and customise data by using the Analytics feature Totals and subtotals Reference lines Reference bands Average lines Trend lines 37. Distribution bands 38. Forecast by using default settings
  • Customise a data forecasting model
  • Create a predictive model
Create Content
  • Create charts
  • Create basic charts from scratch (bar, line, pie, highlight table,scatter plot, histogram, tree map, bubbles, data tables, Gantt, box plots, area, dual axis, combo)
  • Sort data (including custom sort)
  • Create dashboards and stories Combine sheets into a dashboard by using containers and layout options
  • Add objects and create stories
  • Add interactivity to dashboards
  • Apply a filter to a view
  • Add filter, URL, and highlight actions
  • Swap sheets by using parameters or sheet selector 11. 12. 13. 14. 15. 17. 18. 19. 20.
  • Add navigation buttons
  • Implement user guiding sentences (click…, hover…, menu options)
  • Format dashboards
  • Apply colour, font, shapes, styling
  • Add custom shapes and colour palettes 16. Add annotations
  • Add tooltips
  • Apply padding
  • Remove gridlines, row-level and column-level bands, and shading
  • Apply responsive design for specific device layouts
Publish and Manage Content on Tableau Server and Tableau Online
  • Publish Content
  • Publish a workbook
  • Publish a data source
  • Print content
  • Export content
  • Schedule data updates
  • Schedule data extract refreshes

  Course Duration: 1.5 Months

Course Overview:

Mastering Tableau is an intensive program designed to equip participants with comprehensive skills in data visualization using Tableau. Whether you're a beginner or an experienced data analyst, this course will take you through the essentials and advanced techniques of Tableau, empowering you to create insightful visualizations and compelling dashboards.

Course Details:

  • Duration: 6 weeks (3 sessions per week)
  • Format: Instructor-led sessions with hands-on exercises
  • Prerequisites: Basic understanding of data analysis concepts
  • Certification: Certificate of Completion awarded upon finishing the course and passing the final assessment
  • Tools: Participants will need access to Tableau Desktop (trial version or licensed) for hands-on exercises

Course Content:

  • Interactive lectures led by experienced Tableau professionals
  • Hands-on exercises and assignments to reinforce learning
  • Access to a dedicated online learning portal with course materials and resources
  • Real-world projects and case studies to apply Tableau skills in practical scenarios
  • Discussion forums for collaboration and knowledge sharing among participants
  • Regular assessments to track progress and ensure comprehension

At Tech Booster, we are committed to providing top-quality education in data analytics and visualization. Join us and unlock the full potential of Tableau for your career growth and organizational success!

Career and Jpb Opportunities after learning Tableau:

Learning Tableau opens up a multitude of career opportunities in various industries where data analysis and visualization are crucial. Here are some potential career paths you can explore after mastering Tableau:

  1. Data Analyst: As a data analyst, you'll use Tableau to analyze data, create visualizations, and generate insights to support business decisions. You'll work closely with stakeholders to understand their data needs and deliver actionable insights through interactive dashboards.

  2. Business Intelligence Developer: Business intelligence developers design and develop Tableau dashboards and reports to help organizations gain valuable insights from their data. You'll be responsible for extracting, transforming, and loading data into Tableau and creating visually appealing and informative dashboards for business users.

  3. Data Scientist: Data scientists leverage Tableau to visualize and communicate their findings from complex datasets. You'll use Tableau alongside other analytical tools and programming languages to perform advanced analytics, predictive modeling, and machine learning tasks to solve business problems and drive innovation.

  4. Data Visualization Specialist: As a data visualization specialist, you'll specialize in creating compelling and interactive visualizations using Tableau. You'll collaborate with teams across the organization to design visually appealing dashboards that effectively communicate insights and drive data-driven decision-making.

  5. Business Analyst: Business analysts use Tableau to analyze trends, identify opportunities, and solve business challenges. You'll gather and analyze data from various sources, create visualizations to present findings, and provide recommendations to improve business processes and performance.

  6. Consultant: Tableau consultants help organizations implement Tableau solutions, optimize existing dashboards, and provide training and support to users. You'll work closely with clients to understand their business objectives and tailor Tableau solutions to meet their specific needs, driving adoption and success.

  7. Data Visualization Instructor: If you have a passion for teaching and sharing your knowledge, you can pursue a career as a Tableau instructor or trainer. You can work for educational institutions, training centers, or as an independent consultant, delivering Tableau training courses and workshops to aspiring data professionals.

These are just a few examples of the many career opportunities available to Tableau professionals. With the increasing demand for data-driven decision-making across industries, mastering Tableau can open doors to exciting and rewarding career paths.

Certificate

Got any queries?

Tableau: From Basics to Advanced Techniques

Course Includes:

  • Instrutor: Tech Booster
  • Duration: 1.5 Months
  • book icon Lessons: 100+
  • Enrolled: 200+ students
  • Language: English
  • Certificate: Yes
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