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Key Highlights

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Comprehensive Curriculum
Our comprehensive curriculum covers MIS with Advanced Excel, Tableau, Power BI, SQL, and more, providing a well-rounded skill set for data manipulation, analysis, and visualization.
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Practical Learning
In our courses, we prioritize practical learning through hands-on exercises and real-world projects. You won't just learn theory; you'll apply your skills in practical scenarios.
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Industry Expertise
Our courses are taught by experienced instructors who possess deep industry expertise in data analysis, business intelligence, and data visualization.
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Career-Focused Training
By gaining expertise in data manipulation, analysis, and visualization, you will acquire the skills needed to excel as a Data Analyst, BI Analyst, or Data Visualization Specialist.
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Data Manipulation
You will learn techniques to clean, transform, and process data, enabling you to extract meaningful insights and uncover patterns, trends, and relationships within data.
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Flexible Learning
Enjoy a flexible learning schedule with 160 hours of training over 6 months, designed to fit your professional and personal commitments.

Course Curriculum

  • Data Analytics Overview
  • Data Visualization for Decision making
  • Data Analytics in Different Sectors
  • understanding of the importance of data visualization
  • Excel Essentials
  • Working with Multiple Worksheet
  • Cell Referencing
  • Working with Data Lists
  • Conditional Formatting
  • Data Validation
  • What-If Analysis
  • Formula Auditing
  • Protection
  • Conditional Function
  • Text & Statistical Function
  • Financial Function
  • Date and Time Function
  • Advanced Filter Methods
  • Creating HLOOKUP and VLOOKUP Functions
  • Advanced Conditional Formatting
  • Advanced Lookup and Reference Functions
  • Charts & Sparkline’s
  • Use of Power Pivots for Data Analysis
  • Use of Power Queries & Power Map
  • Pivot table Dashboard with Slicers
  • Creating Dashboard with Slicers and Timeline
  • Working with External Data
  • Exporting & Importing Data to
  • Excel, Access, PPT, TXT, CSV
  • Updating Charts, Table in PowerPoint
  • Converting Reports into PDF
  • Exporting Charts, Tables to PowerPoint
  • Introduction ChatGPT with Excel
  • Enhancing Excel Formulas with ChatGPT
  • Advanced Formula Assistance with ChatGPT
  • Data Cleaning and Transformation
  • Basic Data Analysis Techniques
  • Macro recording
  • Visual Basic Editor
  • Understanding Objects, Methods, Properties and Variables
  • Conditional Statement
  • Control Structures-Decision
  • Looping Structures
  • User Forms and GUI
  • Worksheet / Workbook Operations
  • Error Handling
  • Getting Started with Access
  • Working with Table Data
  • Querying a Database
  • Using Forms
  • Generating Reports
  • Designing a Relational Database
  • Sharing Data Across Applications

Introduction to Power BI

  • What is Power BI
  • Installing Power BI Desktop
  • Exploring the Power BI Workflow

Transforming Data with Power BI Desktop

  • Connecting to different sources
  • Different connecting Options
  • Shaping and transforming data with Power Query
  • Editing, Merging, Appending queries etc.

Modeling with Power BI

  • Introduction to Modeling
  • Building Relational Models
  • Creating table relationships
  • Understanding the filter flow
  • Cardinality and Cross filtering

Visualizing Data with Reports

  • Creating Visualisations
  • Color & Conditional Formatting
  • Sort Order
  • Scatter & Bubble Charts & Play Axis
  • Tooltips, Slicers
  • Timeline Slicers & Sync Slicers
  • Cross Filtering and Highlighting
  • Visual, Page and Report Level Filters
  • Drill Down/Up, Hierarchies
  • Group, Bins and Parameters
  • Constant Lines
  • Tables, Matrices Table Conditional Formatting
  • Map Visualisations

Introduction to DAX

  • Understanding DAX Syntax
  • DAX calculation types
  • DAX functions
  • Using variables in DAX expressions
  • Table relationships and DAX
  • DAX tables and filtering

M Language

  • IF...ELSE Conditions, Transform Column () Types
  • Remove Column (), Spilt Columns (), Replace value ()
  • Table. Distinct option and Group BY option Table.
  • Group (), Table. Sort () With Type Conversions PIVOT
  • Operation and Table. Pivot (). List Functions Using
  • Parameters with M language

Creating Dashboards

  • Pin Visuals and Pin Live Report Pages to Dashboard
  • Advantages of Dashboards
  • Interacting with Dashboards
  • Formatting Dashboard
  • Sharing Dashboard

Introduction to Tableau

  • Understanding Working
  • Architecture & Data Model
  • Data Connection & Joins
  • Working with multiple data sources
  • Data joining and blending

Tableau Interface

  • Measures and dimension
  • Shelves
  • Show me
  • Data Types
  • Default Properties
  • Marks Card
  • Page Shelf
  • Difference between. twb and. twbx

Chart Types

  • Bar Charts & Stacked Bars
  • Pie Chart
  • Line Graph with Date
  • Line Graph without Date
  • Area charts
  • Tree Map
  • Word Cloud
  • Packed Bubble
  • Box & Whiskers Plot
  • Scatter Plots
  • Highlight tables
  • Heat maps

Advanced Charts

  • Waterfall
  • Funnel
  • Geographical fields
  • Map options

Data Formatting

  • Legends
  • Highlights
  • Labelling
  • Number Formats
  • Alignment

Advanced Function

  • Sorting
  • Groups
  • Sets
  • Hierarchy
  • Reference and Trend Lines
  • Edit Axis
  • Bins

Filters

  • Dimension Filter
  • Measure Filter
  • Filter - Display Option
  • Context Filters
  • Relevant Filters
  • Sets in filters
  • Conditional Filters

Run Time Columns

  • Calculated Fields
  • String Calculation
  • Data Calculation
  • Logical Calculation
  • Numeric Calculation
  • Parameters
  • Table Calculations
  • Discrete vs Continuous
  • Date Aggregations and Date parts
  • Cross tab
  • Totals & Subtotals

Dashboards

  • Dashboard Objects
  • Dashboard Actions
  • URL
  • Highlight
  • Filter
  • Publish to Web

Storyline in Tableau

  • Publish Reports

Visualising Data with Reports

  • Introduction to Python and its Ecosystem
  • Setting Up Python Environment (Anaconda, Jupyter)

Python Basics for Data Analysis

  • Python Libraries installation using PIP
  • Python Variables, Data Types, and Operators
  • Control Structures (if statements, loops)
  • Functions and Libraries in Python
  • Python Basics -Data & time modules

Python Libraries

  • Pandas (Series, Data frames)
  • NumPy (Arrays, Memory, Matrices, Broadcasting, Masked Arrays)
  • SciPy
  • Matplotlib
  • Seaborn
  • Sklearn (Scikit Learn)
  • Stats models

Jupyter Notebooks & Data Collection

  • Jupiter Notebooks
  • Data Collection (using CSV, JSON, XML, HTML & Scrapping)

Data Wrangling & Summarization

  • Understanding
  • Filtering
  • Typecasting
  • Transformations & Normalization
  • Imputation
  • Handling Duplicates & Categorical Data
  • Data Summarization

Data Visualisations using Python Packages

  • Line Chart
  • Bar Chart
  • Pie Charts
  • Box Plots
  • Scatter Plots
  • Figures & Subplots
  • Additional Visualization Packages – bokeh, ggplot, plotly
  • Python XML and JSON parsers
  • Basic Images Processing using python OpenCV

Basic of R

  • Data Types
  • Data Structures
  • Data Manipulation
  • Decision Making Statements
  • Conditional Loops
  • Flow Control Statements (If Nested)
  • Working with Packages
  • Built Functions in R: (Base, Datasets, Dplyrand, Ggplot)
  • Reading & Writing Data
  • String & Date Manipulation
  • Exploratory, Statistical & Regression Analysis
  • Database Management system
  • SQL Syntax
  • Data Manipulation Language
  • Data Query Language
  • Built in functions in SQL
  • Sub-Query & Joins
  • Introduction to NoSQL
  • Introduction to MongoDB
  • Data modelling & basic operations
  • Collections and basic operations on collections
  • Inserting data into tables
  • Query document
  • RDBMS where clause equivalents in MongoDB
  • Update document
  • Delete document
  • Limit records
  • Shading
  • Backup and restore
  • Deployment
  • Advanced features of MongoDB

Certificate

Our Affiliations & Associations

ABMA
ACCA
Adobe
NSDC
Tally
ABMA
ACCA
Adobe
NSDC
Tally

Testimonials – Data Visualization & Analysis Course

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