Job Oriented Training-Noida-GRAStech
MIS Analytics
MIS Analytics Course
Description
Your Gateway to MIS Analytics Mastery
Are you looking to enhance your business acumen with data-driven insights? GRAStech offers comprehensive MIS Analytics courses designed to equip you with the skills needed to excel in today's competitive market. Our expert trainers will guide you through advanced Excel techniques, SQL Server databases, and powerful data visualization tools like Power BI.
With GRAStech's MIS Analytics training, you'll learn how to:
Extract valuable information from complex datasets.
Analyze data trends and patterns.
Visualize insights through compelling dashboards.
Make data-driven decisions to improve business performance.
Enroll today and unlock the potential of MIS Analytics with GRAStech.
What You will Learn?
- Database
- BI tools and visualization
Topics for this course
Total learning: 104 Topics
Overview of MIS and Analytics
Definition and importance of MIS
Role of analytics in MIS
Key concepts and objectives
Types of MIS
Transaction Processing Systems (TPS)
Decision Support Systems (DSS)
Executive Information Systems (EIS)
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Module 1: Advanced Formulas and Functions
Array Formulas: Introduction and practical applications
Logical Functions: Advanced use of IF, AND, OR, NOT
Lookup Functions: Mastering VLOOKUP, HLOOKUP, XLOOKUP, MATCH, INDEX, and
Text Functions:
Date and Time Functions:
Statistical Functions: Using AVERAGEIF, AVERAGEIFS, SUMIF, SUMIFS, COUNTIF, COUNTIFS
Array Functions: FILTER, UNIQUE, SORT, SORTBY, SEQUENCE
Module 2: Data Analysis and Visualization
PivotTables: Creating, customizing, and advanced techniques (calculated fields, grouping, slicers)
Pivot Charts: Dynamic charting with PivotTables
Conditional Formatting: Custom rules, formulas in conditional formatting, data bars, icon sets, and color scales
Data Validation: Advanced data validation rules, creating dropdown lists with dynamic ranges, custom validation messages
Module 3: Data Import, Cleaning, and Transformation
Module 4: Advanced Data Analysis with Power Pivot
Module 5: Advanced Excel Techniques
What-If Analysis: Using Scenario Manager, Goal Seek, and Data Tables
Dynamic Named Ranges: Creating and using dynamic ranges in formulas and charts
Module 6: Excel Integration with Other Tools
Integrating Excel with Power BI: Importing Excel data into Power BI, using Excel as a data source
Module 1: Introduction to SQL Server
Overview of SQL Server: Editions and components
SQL Server architecture: Database engine, SQL Server instances, and services
Installing and configuring SQL Server
SQL Server Management Studio (SSMS): Interface, tools, and utilities
Understanding databases, tables, schemas, and objects
Overview of T-SQL (Transact-SQL)
Module 2: Database Design and Implementation
Introduction to database design: Normalization, primary keys, foreign keys
Creating and managing databases
Creating and altering tables: Data types, constraints, indexes
Relationships and referential integrity
Designing views and stored procedures
Implementing triggers and user-defined functions (UDFs)
Module 3: Querying and Manipulating Data with T-SQL
Writing basic T-SQL queries: SELECT, WHERE, ORDER BY, GROUP BY
Joins and subqueries: INNER JOIN, LEFT JOIN, RIGHT JOIN, CROSS JOIN, and correlated subqueries
Aggregate functions: SUM, COUNT, AVG, MIN, MAX
Set operators: UNION, INTERSECT, EXCEPT
Working with NULLs and complex expressions
Modifying data: INSERT, UPDATE, DELETE, and MERGE
Module 4: Indexing and Query
Power BI Desktop vs. Power BI Service vs. Power BI Mobile
Module 1: Introduction to Power BI
Overview of Power BI: Components and workflow
Installation and setup of Power BI Desktop
Overview of Power BI architecture
Key concepts: Dashboards, Reports, and Datasets
Module 2: Getting Started with Power BI Desktop
Power BI interface and navigation
Connecting to data sources: Excel, CSV, databases, web data, and cloud services
Data import and data refresh in Power BI
Understanding data types and Power Query Editor
Overview of relationships and the data model
Module 3: Data Transformation and Preparation
Data cleaning and transformation with Power Query
Handling missing data, filtering, and sorting
Merging and appending queries
Unpivoting and pivoting columns
Creating custom columns and using advanced transformation techniques
Understanding applied steps and query dependencies
Module 4: Data Modeling in Power BI
Introduction to data modeling concepts
Creating relationships between tables
Understanding cardinality and cross-filter direction
Using calculated columns and calculated tables
Hierarchies and their use in data models
Introduction to DAX (Data Analysis Expressions): Basic syntax and functions
Module 5: Advanced DAX in Power BI
Deep dive into DAX functions: Logical, mathematical, statistical, and text functions
Time intelligence functions: YEAR, MONTH, QUARTER, YTD, MTD, etc.
Advanced DAX functions: CALCULATE, ALL, FILTER, RELATED, RELATEDTABLE
Creating and using measures for dynamic reporting
Performance optimization with DAX: Best practices
Module 6: Data Visualization and Reporting
Introduction to Power BI visuals: Tables, matrices, charts, and maps
Customizing visualizations: Formatting, sorting, and filtering visuals
Creating and using slicers and filters
Drill-down and drill-through reports
Using bookmarks, buttons, and selection panes for navigation
Creating interactive dashboards and storytelling with Power BI
Module 7: Advanced Visualization Techniques
Custom visuals: Importing and using third-party visuals
Conditional formatting in visuals
Using KPIs and gauges for performance tracking
Advanced charting techniques: Waterfall, funnel, scatter, and bullet charts
Module 8: Power BI Service
Introduction to Power BI Service (PowerBI.com)
Publishing reports from Power BI Desktop to Power BI Service
Creating and managing workspaces
Sharing reports and dashboards with stakeholders
Introduction to Power BI Apps and App Workspaces
Opportunities after this course completion
MIS Analyst/Research Analyst/Data Reporting
Price: INR 19000 INR 23500
This Course Includes
-
Skill level : Advanced
-
Duration : 3.5 Months
-
Chapters : 10
-
Topics : 104
-
Language : English
-
Certificate : Yes
