Data Analytics and Power Bi certification courses | Codebetter

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power bi data analyst certification by codebetter

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Overview
Course Content

Description

Data analytics converts raw data into actionable insights. It includes a range of tools, technologies, and processes used to find trends and solve problems by using data. Data analytics can shape business processes, improve decision-making, and foster business growth. Additionally, CodeBetter IT Institute offers the best Power BI certification course for individuals seeking expertise in data analytics and visualization.

Course Content Overview:

- Python Programming

- Numpy, Pandas, Matplotlib, Seaborn, SQL Connectivity

- Database Management Systems, RDBMS, SQL, MongoDB

- Advance HTML, CSS, Bootstrap, TailwindCSS, Template Customization

- Django App Development

- Advance Excel and Dashboards

- Power BI Visualization, Reporting and Dashboards

- Major Project(AGILE SDLC, GitHub)

- GitHub and Project Management Tools

- Placement Support and Guidance

Python

Introduction, Variables, Data Types, Operators, type Conversion
Control structure - If else, switch, ternary operator, For loop, nested for loop, while loop, break, continue
Collection - List, Dictionary, Set
"functions, argument, return type, Arbitrary Arguments, *args, Keyword Arguments
"kwargs, Default value parameters, nested functions. Anonymous functions. Local vs global variables"
Introduction to OOP , Object , Class, Methods, initializer, self, static, List of object
Inheritance - single, multilevel, hierarchical , multiple, pass keyword
Runtime Polymorphism, Method overriding, super keyword, Abstraction, Abstract Class, ABC Module
Modules and Access specifiers, Exception Handling try, except, raise, else, finally, custom exception
Enumeration, Multithreading , File Handling, CSV read, write

Numpy , Pandas, Matplotlib, Seaborn

Introduction of Numpy, Data Types
NdArray and Types of NdArray
Array Attributes, Array Creation Patterns
Indexing and Slicing,
Iteration in Array
Broadcasting
String Functions
Math Functions
Statistical Functions
Sort, Search and Counting Functions
Matrix Functionality
Introduction to Pandas
Introduction of Series and methods
Introduction of Dataframe creation
Method of Dataframe
Reindexing, Indexing and Slicing of Data
GroupBy, Merging/Joining, Categorical Data
Introduction of matploatlib installation plot
Type of Plotting
Introduction of Seaborn and installation
Type of visualization
Database Connectivity – MySql Connector

RDBMS with MYSQL

Fundamental SQL Statements
SQL Command Types
DDL, Normalization, Constraints
DML
Selection Commands
Selection Commands Filtering , Ordering
String Functions
Data and Time Functions
Mathematical Functions
Case and Decode
Aggregations
Group By Commands
Joins
Subqueries
Views and Index
User Access Control
Restore and Backup

Excel

Introduction to Business Analytics
Formatting Conditional Formatting and Important Functions
Analysing Data with Pivot Tables
Dashboarding
Business Analytics with Excel
Data Analysis Using Statistics

Power BI Syllabus

1: Quick Start Power BI Service
Get Power BI Tools
Introduction to Tools and Terminology
Dashboard in Minutes
Refreshing Power BI Service Data
Interacting with your Dashboards
Sharing Dashboards and Reports
2: Getting and Transforming Data with Power BI Desktop
Introduction to Power BI Desktop
Getting Data: Excel vs Power BI Desktop & Service
Naming for Q&A
DirectQuery vs Import Data
Recap and What's Next
3: Modeling with Power BI
Introduction to Modeling
Setup and Manage Relationships
Cardinality and Cross Filtering
Default Summarization & Sort by
Creating Calculated Columns
Creating Measures & Quick Measures
Recap and What's Next
4: Power BI Desktop Visualisations
Creating Visualisations
Color & Conditional Formatting
Setting Sort Order
Scatter & Bubble Charts & Play Axis
Slicers
Tooltips
Cross Filtering and Highlighting
Visual, Page and Report Level Filters
Drill Down/Up
Hierarchies
Constant Lines
Tables, Matrices & Table Conditional Formatting
KPI's, Cards & Gauges
Map Visualisations
Custom Visuals
Managing and Arranging
Drillthrough
Custom Report Themes
Grouping and Binning
Bookmarks & Buttons
Decomposition Tree
5: Power BI Service Visualisation Tools
Introduction to the Power BI Service
Standalone Tiles
Data Driven Alerts (Power BI Pro/Premium)
Quick and Related Insights
Custom Q&A
6: Publishing and Sharing
Sharing Options Overview
Publish from Power BI Desktop
Publish Reports to Web
Sharing Reports & Dashboards (Power BI Pro/Premium)
Workspaces (Power BI Pro/Premium)
Apps (Power BI Pro/Premium)
Printing, PDFs and Exporting to PowerPoint
Row Level Security (Power BI Pro)
Export Data from a Visualisation
Publishing for Mobile Apps
Sharing Options Summary
7: Refreshing Datasets
Understanding Data Refresh
Personal Gateway (Power BI Pro and 64-bit Windows)
Replacing a Dataset
Troubleshooting Refreshing
8: Power BI and Excel Together
Options for Publishing from Excel
Import Excel Power Query & Power Pivot Models
Analyze in Excel (Power BI Pro or Premium)
Excel Publish: Upload and Export to Power BI
Sharing Published Excel Dashboards (Power BI Pro or Premium)

Major Project(AGILE SDLC, GitHub)

Placement Support and Guidance

Course Features

	Duration	6 - 8 months
	Language	Hindi/English
	Certificate	Yes
	Expert trainers	Yes
	Flexible Timing	Yes
	Fee Installements	Yes

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