Data Analytics Course

Whether you are an HR professional, a medical lab scientists, a researcher or a business owner you can determine different ways through which you can make good strides to achieve positive results in your line of profession by utilizing and optimizing your Data.

Understanding how to visualize data shows you how to make sense of your data, present clear evidence of your findings, and tell engaging stories all through data graphics.


NGN 150,000/USD 300

What You’ll Learn

  • You will discover the concepts of data analytics, the role of a data analyst, and the tools that are used to perform daily functions.
  • You will gain understanding of the data ecosystem and the fundamentals of data analytics, such as data gathering & data mining.
  • You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker.
  • In addition you will learn how to clean, analyze, and share your data with the use of visualizations and dashboard tools.
  • By the end of this course you will be able to carry out data process, present your data using graphics, understand the different career paths that are available for data analytics, and explore the many resources available for mastering this profession.

Course Outline

Prepare The Data
Get Data From Different Data Sources
  • Identify and connect to a data source
  • Change data source settings
  • Select a shared dataset or create a local dataset
  • Select a storage mode
  • Choose an appropriate query type
  • Identify query performance issues
  • Use Microsoft data verse
  • Use parameters
  • Use or create a PBIDS file use or create a data flow
  • Connect to a dataset using the XMLA endpoint
Profile The Data
  • Identify data anomalies
  • Examine data structures
  • Interrogate column properties
  • Interrogate data statistics
Clean, Transform, And Load The Data
  • Resolve inconsistencies, unexpected or null values, and data quality issues
  • Apply user-friendly value replacements
  • Identify and create appropriate keys for joins
  • Evaluate and transform column data types
  • Apply data shape transformations to table structures
  • Combine queries
  • Apply user-friendly naming conventions to columns and queries
  • Leverage advanced editor to modify Power Query M code
  • Configure data loading
  • Resolve data import errors
Model The Data
Design A Data Model
  • Define the tables
  • Configure table and column properties
  • Define quick measures
  • Flatten out a parent-child hierarchy
  • Define role-playing dimensions
  • Define a relationship’s cardinality and cross-filter direction
  • Design the data model to meet performance requirements
  • Resolve many-to-many relationships
  • Create a common date table
  • Define the appropriate level of data granularity
Develop A Data Model
  • Apply cross-filter direction and security filtering
  • Create calculated tables
  • Create hierarchies
  • Create calculated columns implement row-level security roles
  • Set up the Q&A feature
Create Measures By Using DAX
  • Use DAX to build complex measures
  • Use CALCULATE to manipulate filters
  • Implement Time Intelligence using DAX
  • Replace numeric columns with measures
  • Use basic statistical functions to enhance data
  • Create semi-additive measures
Optimize Model Performance
  • Remove unnecessary rows and columns
  • Identify poorly performing measures, relationships, and visuals
  • Improve cardinality levels by changing data types
  • Improve cardinality levels through summarization
  • Create and manage aggregations
Visualize The Data
Create Reports
  • Add visualization items to reports
  • Choose an appropriate visualization type
  • Format and configure visualizations
  • Import a custom visual
  • Configure conditional formatting
  • Apply slicing and filtering
  • Add an R or Python Visual
  • Configure the report page
  • Design and configure for accessibility
  • Configure automatic page refresh
  • Create a paginated report
Create Dashboards
  • Set mobile view
  • Manage tiles on a dashboard
  • Add a dashboard theme pin a live report page to a dashboard configure data classification
  • Configure data alerts use the Q&A feature
Enrich Reports For Usability
  • Configure bookmarks
  • Create custom tooltips
  • Edit and configure interactions between visuals
  • Configure navigation for a report
  • Apply sorting
  • Configure sync slicers
  • Use the selection pane
  • Use drill through and cross filter
  • Drill down into data using interactive visuals
  • Export report data
  • Design reports for mobile devices
Analyze The Data
Enhance Reports To Expose Insights
  • Apply conditional formatting
  • Apply slicers and filters
  • Perform top N analysis
  • Explore statistical summary
  • Use the Q&A visual
  • Add a quick insights result to a report
  • Create reference lines by using analytics pane
  • Use the play axis feature of a visualization
  • Personalize visuals
Perform Advanced Analysis
  • Identify outliers
  • Conduct time series analysis
  • Use groupings and binnings
  • Use the key influencers to explore dimensional variances
  • Use the decomposition tree visual to break down a measure
  • Apply AI insights
Deploy and Maintain Deliverables
Manage Datasets
  • Configure a dataset scheduled refresh configure row-level security group membership
  • Providing access to datasets
  • Configure incremental refresh settings
  • Promote or certify Power BI datasets
  • Identify downstream dataset dependencies
  • Configure large dataset format
Create And Manage Workspaces
  • Create and configure a workspace
  • Recommend a development lifecycle strategy
  • Assign workspace roles
  • Configure and update a workspace app
  • Publish, import, or update assets in a workspace
  • Apply sensitivity labels to workspace content
  • Use deployment pipelines
  • Configure subscriptions
  • Promote or certify Power BI content

Watch one of our students create a beautiful dashboard while she makes sense out of data here.

Read the stories of our students and their experiences after taking our Data Analytics Course here.

Upcoming Cohort Intake

[ecs-list-events cat=’Data Analytics Cohorts’]

Benefits of Taking the Course

  • You will be able to analyze data from different data sources and create their own datasets.
  • You will be able to comfortably work with the different tools of the Power BI universe and know how the different tools work together
  • You will have the required knowledge to dive deeper into Power BI and find out more about its advanced features

Job Titles You Can Apply To As A Data Analyst

  • Business Intelligence Analyst
  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Quantitative Analyst
  • Data Analytics Consultant
  • Operations Analyst
  • Marketing Analyst
View their Certifications


NGN 150,000/USD 300

Duration: 3 WEEKS
Time frame: MONDAYS – FRIDAYS (7PM – 9PM)
Overall Time frame: 60 hours
Course inclusion: How to use the tool, Hands-on project, Mentorship with industry experts and Examination preparations (Practice questions)

Free Webinars on Data Analytics You May Like to Watch

Microsoft Power BI
Demo Session on Microsoft power BI
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