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About this course:

Learn the fundamentals of data visualization and practice communicating with data. This course covers how to apply design principles, human perception, color theory, and effective storytelling with data. If you present data to others, aspire to be a business analyst or data scientist, or if you’d like to become more effective with visualization tools, then you can grow your skills with this course. This course is part of Data Science Masterclass.

+ 25 Hours

15 Hours Live classes + 10 Hours Project work

Industry experts

Taught by expert industry professionals.

Basics to Advanced

No programming experience? No worries, we start from the basics!

career mentoring

Placement Assistance, Interview Preparation and more

Who is this course for?

  • Analytics professionals who want to fasten their growth path

  • IT and Software professionals who are looking to get into the field of Analytics.

  • Students and graduates who want to start their career with Analytics, or

  • Anyone who wants to get started with Analytics


No prior knowledge of programming is assumed.

No prior knowledge of any subject is assumed.

Course Contents:


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1. Introducing Tableau

  • Downloading Tableau

  • Installing Tableau drivers

  • Introducing Tableau file types

  • Getting help in Tableau

  • Discovering what’s new in Tableau 10


2. Managing Data Sources and Visualizations

  • Connecting to a data source

  • Joining related data sources

  • Joining related fields with inconsistent names

  • Cleaning up source data

  • Creating a visualization using Show Me

  • Changing the order of the fields in a visualization

  • Changing the summary operation

  • Splitting text into multiple columns

  • Presenting data using Storylines

3. Managing Tableau Worksheets and Workbooks

  • Displaying the data underlying a workbook

  • Adding, duplicating, and renaming worksheets

  • Reordering, clearing, and deleting worksheets

  • Changing a worksheet’s tab color

  • Showing or hiding worksheet elements

  • Creating a packaged workbook

4. Creating Custom Calculations and Fields

  • Presenting Tableau operators and built-in functions

  • Creating a calculated field

  • Creating a calculated field on a shelf

  • Adding a table calculation

  • Using level of detail expressions

  • Creating calculations in dialog boxes


5. Analyzing Data Using Statistical Tools

  • Calculating averages, medians, minimums, and maximums

  • Displaying the Summary Card

  • Calculating percentages of a table total

  • Forecasting future values


6. Sorting and Filtering Tableau Data

  • Sorting based on a field’s values

  • Combining fields to sort by more than one criteria

  • Creating a selection filter

  • Creating a wildcard filter

  • Creating a condition filter

  • Creating a top filter

  • Adding a Quick Filter to a worksheet

  • Editing, clearing, and deleting filters

  • Filtering data using parameters

  • Editing and deleting parameters


7. Defining Groups and Sets

  • Defining a group

  • Defining a group for “other” values

  • Finding members of a group

  • Editing and deleting groups

  • Defining a set

  • Creating summaries using sets

  • Combining sets

  • Editing and deleting sets


8. Creating and Pivoting Crosstabs

  • Creating a crosstab

  • Unpivoting a crosstab

  • Adding totals and subtotals to a crosstab


9. Formatting Tableau Visualizations

  • Changing the visual summary type

  • Changing the appearance of your data

  • Resizing a visualization

  • Displaying a visualization in Presentation mode

  • Creating a highlight table


10. Creating Basic Charts

  • Creating column and stacked column charts

  • Creating line charts and area fill charts

  • Creating pie charts

  • Creating scatter plots

  • Identifying data clusters

  • Creating histograms

  • Summarizing data using a smart histogram

  • Defining discrete bins from a continuous measure

  • Creating a treemap


11. Annotating and Formatting Charts

  • Adding a text box to a chart

  • Formatting chart elements

  • Changing the color sequence in charts

  • Adding a trend line to a chart

  • Adding reference lines, distributions, and boxes


12. Mapping Geographic Data

  • Ensuring your data can be mapped

  • Creating a basic map

  • Setting map options

  • Enhancing map analysis using distance measurement tools

  • Disabling pan and zoom in maps

  • Defining custom regions


13. Creating Dashboards and Actions

  • Creating a dashboard

  • Arranging and formatting dashboard elements

  • Defining a filter action

  • Defining a highlight action

  • Defining a URL action

How we help you get into Data Science Job?

  • Resume Preparation: We help you customize your resumes for various jobs.

  • Mock interviews (Technical + HR Round)

  • Co-ops & Placement Assistance



Expected Salary for Data Scientists in GTA region:

  • Contract-based: $45 to $95 per hour incorporated (Based on experience)

  • Full Time: $80k to $120k yearly (Based on experience)


+1 6478061429

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