Power BI Certification Training Course in Pune
Looking to learn Power BI?
Look no further! If you are looking to make a career in business intelligence, then Power BI is the perfect tool. Lotusithub computer Training Institute in Pune - Certified Training for Beginners and Experts in Power BI course.
courses and classes
At Lotusgithub, we offer the best Power BI certification and training courses and online and offline classes that will help you learn this tool quickly and easily. With our Power BI certification and training program, you will be able to learn all the features of this powerful data analytics, data visualization, and data analysis tools to make better business decisions.
Instructors and facilities
With our world-class trainers and state-of-the-art infrastructure, we provide an optimal learning experience that helps our students get ahead in their careers.Power BI online Courses.
Placement
We also provide placement assistance to our students after completing the course.
Pay Fees After Satisfaction With Interview Guidance
Power BI Syllabus
What is Power BI?
Building Blocks of Power BI
Power BI – Primary Tools : Power Pivot, Power Query,
Power View, Power Map, Power Q&A, Power BI Desktop
Building Blocks of Power BI
Power BI – Primary Tools : Power Pivot, Power Query,
Power View, Power Map, Power Q&A, Power BI Desktop
Power BI Desktop – Install
Data Sources and Connections
Connect to Data in Power BI Desktop
How to use Query Editor in Power BI
Advanced Data Changes and Transformation
Views in Power BI Desktop
Modeling Data - Manage Data Relationship
Create Calculated Columns, Optimize Data Models
Data Sources and Connections
Connect to Data in Power BI Desktop
How to use Query Editor in Power BI
Advanced Data Changes and Transformation
Views in Power BI Desktop
Modeling Data - Manage Data Relationship
Create Calculated Columns, Optimize Data Models
What is DAX?
Data Types in DAX
Calculation Types
DAX Functions : Date and Time, Time IIntelligence
Information, Logical, Mathematical, Statistical, Text
Aggregate Measures in DAX
Table Relationships and DAX
Data Types in DAX
Calculation Types
DAX Functions : Date and Time, Time IIntelligence
Information, Logical, Mathematical, Statistical, Text
Aggregate Measures in DAX
Table Relationships and DAX
Why Data Visualization
Practices for Data Visualization
How to use Visual in Power BI
Reports in Power BI
Charts in Power BI (Scatter, Waterfall, Funnel)
Slicers
Map Visualizations
Gauges and Single Number Cards
Practices for Data Visualization
How to use Visual in Power BI
Reports in Power BI
Charts in Power BI (Scatter, Waterfall, Funnel)
Slicers
Map Visualizations
Gauges and Single Number Cards
Dijkstra’s Algorithm
Minimum spanning tree- Prim’s Algorithm;
Searching Techniques: Sequential Searching
Binary Searching, Search Trees, Hash- Table Methods.
Mathematical Functions and Notations Functions and Notations
Efficiency of an Algorithm
Well Known Asymptotic Functions and Notations
Analysis of Algorithms – Simple Examples;
Well Known Sorting Algorithms – Insertion sort, Bubble sort, Selection
sort, Shell sort, Heap sort.
Divide and Conquer Divide and Conquer Strategy; Binary Search; Max. And Min.; Merge sort; Quick sort.
Greedy Method Greedy Method Strategy;
Dynamic Programming Dynamic Programming Strategy;
All Pair Shortest Paths
Complexity of Algorithms: Notations for the Growth Rates of Functions;
Classification of Problems
Minimum spanning tree- Prim’s Algorithm;
Searching Techniques: Sequential Searching
Binary Searching, Search Trees, Hash- Table Methods.
Mathematical Functions and Notations Functions and Notations
Efficiency of an Algorithm
Well Known Asymptotic Functions and Notations
Analysis of Algorithms – Simple Examples;
Well Known Sorting Algorithms – Insertion sort, Bubble sort, Selection
sort, Shell sort, Heap sort.
Divide and Conquer Divide and Conquer Strategy; Binary Search; Max. And Min.; Merge sort; Quick sort.
Greedy Method Greedy Method Strategy;
Dynamic Programming Dynamic Programming Strategy;
All Pair Shortest Paths
Complexity of Algorithms: Notations for the Growth Rates of Functions;
Classification of Problems