Statistics Essentials for Data Analysis

Microsoft Power BI Training
Training in Microsoft Power BI equips professionals for roles like Data Analyst, Business Intelligence Analyst, and Reporting Analyst. Power BI allows you to transform raw data into insightful visualizations and interactive reports, enhancing data-driven decision-making. Key skills include data modeling, creating dashboards, and using DAX (Data Analysis Expressions) for advanced calculations.
Power BI's ability to connect to various data sources and its integration with other Microsoft tools make it indispensable in business environments. By mastering Power BI, you enhance your ability to provide actionable insights, optimize business processes, and support strategic planning, making you a valuable asset in any data-centric role.
Training in Power BI enhances your ability to provide critical business insights, optimize processes, and support strategic planning. With Power BI's integration capabilities and ease of use, professionals can quickly adapt to evolving business needs, making them invaluable assets in any data-driven organization. Mastery of Power BI positions you for success in roles that require strong analytical and reporting skills, ultimately driving business efficiency and growth.
Benefits of Power BI Training
- High Demand: Power BI is one of the most sought-after tools for data visualization and analysis.
- Ease of Use: Power BI’s user-friendly interface makes it accessible to both technical and non-technical professionals.
- Career Advancement: Opens opportunities in roles like data analyst, BI developer, and reporting analyst.
- Integration Power: Seamless integration with Microsoft and third-party applications enhances workflow efficiency.
- Cost-Effectiveness: Power BI is widely used across industries for its affordability and robust capabilities.

Course Detail
TOPICS | SUB TOPICS | DAY | DATE |
Introduction | Glimpse of the fundamental concepts of Power BI and its components. | DAY 1 | |
Installation Steps | Explains the installation steps of the Power BI Desktop application on Windows | DAY 2 | |
Architecture | Overview of the Power BI components | DAY 3 | |
Power BI – Desktop | Various hidden qualities of the Power BI desktop's three views – Report View, Data View, and Model View. | DAY 4 | |
Power Query Editor | Various options for transforming data, and various steps for transforming data into the Power Query Editor. | DAY 5 | |
Data Discrepancy | Identifying data extraction and the concept of data extraction and transformation in the Power Query Editor. | DAY 6 | |
Merge Queries (Part 1) | To join tables in Power Query Editor using the Right Outer, Left Anti, and Right Anti Join. | DAY 7 | |
Merge Queries (Part 2) | The Inner Join, Left Outer Join, and Full Outer Join to merge two tables. | DAY 8 | |
Develop Star Schema | Explain how a fact table is connected to multiple – dimensional tables. | DAY 9 | |
Data Modeling | Understand data modeling, add and remove relationships between tables, and create calculated columns. | DAY 10 | |
Manage Relationships |
Users can manage
relationships among tables using various tabs, such as auto –
detect, create new relationships, edit existing relationships, and
delete unwanted relationships. |
DAY 11 | |
Cardinality | Multiple types of cardinalities in Power BI desktops | DAY 12 | |
Visualization Options | Various visualization options like Simple visualization, Map visualization, and combination charts. | DAY 13 | |
Visualization Charts | Overview of the multiple visualization charts, such as Stacked Bar charts, Stacked Column charts, Line charts, and more, available on the BI desktop. | DAY 14 | |
Table and Matrix Visuals | concept of generating the Table and Matrix visuals is explained in this section. | DAY 15 | |
Creating Map Visualizations |
explains how to generate the
MAP, Filled Map, and TreeMap visualizations in the
BI report. |
DAY 16 | |
Card and Slicer Visualization |
evaluating the average
employee’s monthly salary using Card Visualization and filtering the
employee data according to their Job Roles. |
DAY 17 | |
Filters | Visual Level Filter,Page Level Filter,Report Level Filter | DAY 18 | |
Basic Project | Using Simple BI Tools | DAY 19 | |
Drill Through Filter | Focuses on a specific entity and filters to that context when you right-click a data point | DAY 20 | |
Bookmark | Bookmarks capture the state of a report page, including filters, slicers, and visuals | DAY 21 | |
Buttons | With buttons, we can change specific visuals on a page | DAY 22 | |
Analytics Dashboard | How to create the stunning HR Analytics dashboard on the BI desktop. | DAY 23 | |
Customer Analytics Dashboard | Generate a stunning Customer Analytics dashboard on the BI desktop. | DAY 24 | |
DAX Basics | The overview of the DAX function and the different categories of the DAX functions. | DAY 25 | |
DAX Aggregate Functions | Multiple types of DAX aggregate functions and their examples. |
DAY 26
& 27 |
|
DAX Text Functions | DAX text functions are provided in this section. |
DAY 28
& 29 |
|
DAX Date Functions | The multiple types of DAX Date functions |
DAY 30
& 31 |
|
DAX Logical Functions | Numerous types of the DAX Logical functions along with their examples. |
DAY 32
& 33 |
|
DAX Counting Functions | DAX counting functions and its types. | DAY 34 | |
DAX Information Functions | Multiple types of DAX Information functions | DAY 35 | |
Dashboard & Report | Difference between dashboard & report in power bi with example | DAY 36 | |
Project 1 | Using DAX Function with static data |
DAY 37
& 38 |
|
Project 2 | Using DAX Function with Dynamic data example SQL |
DAY 39
& 40 |
|
LIVE PROJECT WITH INTELLUS DIRECT | |||
LIVE PROJECT WITH INTELLUS PRIME |