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Course content

About PGCDA Post Graduate Data Analytics

  • Define Python
  • Overview of Python
  • Understand Why Python is Popular
  • Setup Python Environment
  • Understand Operands and Expressions
  • The Companies Using Python
  • Different Applications Where Python is Used
  • Discuss Python Scripts on UNIX/Windows
  • Values, Types, Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Writing to the Screen
  • Write Your First Python Program
  • Understand Command Line Parameters and Flow Control
  • Python Files I/O Functions
  • Numbers
  • Strings and Related Operations
  • Tuple: Properties, Related Operations, Compared with List
  • List: Properties, Related Operations
  • Dictionary: Properties, Related Operations
  • Set: Properties
  • Understand Python Standard Libraries
  • Packages and Modules: Modules, Import Options, sys Path
  • Functions: Syntax, Arguments, Keyword Arguments, Return Values
  • Function Parameters
  • Global Variables
  • Variable Scope and Returning Values
  • Lambda: Features, Syntax, Options, Compared with Functions
  • Sorting: Sequences, Dictionaries, Limitations of Sorting
  • Errors and Exceptions: Types of Issues, Remediation
  • Object-Oriented Concepts
  • Modules Used in Python
  • The Import Statements
  • Module Search Path
  • Package Installation Ways
  • Errors and Exception Handling
  • Handling Multiple Exceptions
  • Create arrays using NumPy
  • Perform various operations on arrays and manipulate them
  • Indexing, slicing, and iterating
  • Read & write data from text/CSV files into arrays and vice-versa
  • Create Series and DataFrames in Pandas
  • Data structures & index operations in Pandas
  • Importing and exporting data
  • Indexing and slicing of data structures in Pandas
  • Reading and writing data from Excel/CSV formats into Pandas
  • Create simple plots in Matplotlib
  • Grids, axes, plots, markers, colors, fonts, and styling
  • Types of plots: bar graphs, pie charts, histograms, contour plots
  • Choose the right plot format for a problem at hand judiciously
  • Scale and add style to your plots
  • Basic functionalities of a data object
  • Merging of data objects
  • Concatenation of data objects
  • Types of joins on data objects
  • Exploring a dataset
  • Analyzing a dataset
  • Introduction to Excel
  • Basic Excel functions and formulas
  • Data entry and formatting
  • Data organization
  • Charts and graphs
  • Basic data analysis
  • Working with multiple worksheets
  • Basic functions for financial calculations
  • Overview of BI concepts
  • Why we need BI
  • Introduction to SSBI
  • SSBI tools
  • Why Power BI
  • What is Power BI
  • Building blocks of Power BI
  • Getting started with Power BI Desktop
  • 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
  • Power BI Desktop
  • Extracting data from various sources
  • Workspaces in Power BI
  • Data Transformation
  • Measures and Calculated Columns
  • Query Editor in Power BI
  • Introduction to Modelling
  • Modelling Data
  • Manage Data Relationships
  • Optimize Data Models
  • Cardinality and Cross Filtering
  • Default Summarization & Sort By
  • Creating Calculated Columns
  • Creating Measures & Quick Measures
  • What is DAX?
  • Data Types in DAX
  • Calculation Types
  • Syntax, Functions, Context Options
  • DAX Functions
  • Time Intelligence
  • Information
  • Logical
  • Mathematical
  • Statistical
  • Text and Aggregate
  • Measures in DAX
  • ROW Context and Filter Context in DAX
  • Operators in DAX - Real-time Usage
  • Quick Measures in DAX - Auto validations
  • PowerPivot xVelocity & Vertipaq Store
  • In-Memory Processing: DAX Performance
  • Introduction to Modelling
  • Optimize Data Models
  • Setup and Manage Relationships
  • Cardinality and Cross Filtering
  • Default Summarization & Sort by
  • Creating Calculated Columns
  • Creating Measures & Quick Measures
  • How to use Visual in Power BI?
  • What Are Custom Visuals?
  • Creating Visualisations and Colour Formatting
  • Setting Sort Order
  • Scatter & Bubble Charts & Play Axis
  • Tooltips and Slicers, Timeline Slicers & Sync Slicers
  • Cross Filtering and Highlighting
  • Visual, Page and Report Level Filters
  • Drill Down/Up
  • Hierarchies and Reference/Constant Lines
  • Tables, Matrices & Conditional Formatting
  • KPI's, Cards & Gauges
  • Map Visualizations
  • Custom Visuals
  • Managing and Arranging
  • Drill through and Custom Report Themes
  • Why Dashboard? and Dashboard vs Reports
  • Creating Dashboards
  • Configuring a Dashboard: Dashboard Tiles, Pinning Tiles
  • Power BI Q&A
  • Quick Insights in Power BI
  • Power BI Embedded and REST API
  • Custom Data Gateways
  • Exploring live connections to data with Power BI
  • Connecting directly to SQL Azure, HD Spark, and SQL Server Analysis Services/MySQL
  • Introduction to Power BI Development API
  • Excel with Power BI: Connect Excel to Power BI, Power BI Publisher for Excel
  • Content packs
  • Update content packs
  • Extracting data out of Azure SQL using R
  • Using R to call the Azure ML web service and send it the unscored data
  • Writing the output of the Azure ML model back into SQL
  • Reading scored data into Power BI using R
  • Publishing the Power BI file to the Power BI service
  • Scheduling a refresh of the data using the Personal Gateway
  • Introduction and Sharing Options Overview
  • Publish from Power BI Desktop and Publish to Web
  • Share Dashboard with Power BI Service
  • Workspaces and Apps (Power BI Pro) and Content Packs (Power BI Pro)
  • Print or Save as PDF and Row Level Security (Power BI Pro)
  • Export Data from a Visualization and Publishing for Mobile Apps
  • Export to PowerPoint and Sharing Options Summary
  • What is data visualization?
  • Comparison and benefits against reading raw numbers
  • Real use cases from various business domains
  • Some quick and powerful examples using Tableau without going into the technical details of Tableau
  • Installing Tableau
  • Tableau interface
  • Connecting to Data Source
  • Tableau data types
  • Data preparation
  • Installation of Tableau Desktop
  • Architecture of Tableau
  • Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)
  • How to start with Tableau
  • The ways to share and export the work done in Tableau
  • Connection to Excel
  • Cubes and PDFs
  • Management of metadata and extracts
  • Data preparation
  • Joins (Left, Right, Inner, and Outer) and Union
  • Dealing with NULL values
  • Cross-database joining
  • Data extraction
  • Data blending
  • Refresh extraction
  • Incremental extraction
  • How to build an extract
  • Mark, highlight, sort, group, and use sets (creating and editing sets, IN/OUT, sets in hierarchies)
  • Constant sets
  • Computed sets, bins, etc.
  • Filters (addition and removal)
  • Filtering continuous dates, dimensions, and measures
  • Interactive filters, marks card, and hierarchies
  • How to create folders in Tableau
  • Sorting in Tableau
  • Types of sorting
  • Filtering in Tableau
  • Types of filters
  • Filtering the order of operations
  • Using Formatting Pane to work with menu, fonts, alignments, settings, and copy-paste
  • Formatting data using labels and tooltips
  • Edit axes and annotations
  • K-means cluster analysis
  • Trend and reference lines
  • Visual analytics in Tableau
  • Forecasting, confidence interval, reference lines, and bands
  • Working on coordinate points
  • Plotting longitude and latitude
  • Editing unrecognized locations
  • Customizing geocoding, polygon maps, WMS (Web Mapping Services)
  • Working on the background image, including adding images
  • Plotting points on images and generating coordinates from them
  • Map visualization, custom territories, map box, WMS map
  • How to create map projects in Tableau
  • Creating dual axes maps and editing locations
  • Working on coordinate points
  • Plotting longitude and latitude
  • Editing unrecognized locations
  • Customizing geocoding, polygon maps, WMS (Web Mapping Services)
  • Working on the background image, including adding images
  • Plotting points on images and generating coordinates from them
  • Map visualization, custom territories, map box, WMS map
  • How to create map projects in Tableau
  • Creating dual axes maps and editing locations
  • Creating parameters
  • Parameters in calculations
  • Using parameters with filters
  • Column selection parameters
  • Chart selection parameters
  • How to use parameters in the filter session
  • How to use parameters in calculated fields
  • How to use parameters in the reference line
  • Dual axes graphs
  • Histograms
  • Single and dual axes
  • Box plot
  • Charts: motion, Pareto, funnel, pie, bar, line, bubble, bullet, scatter, and waterfall charts
  • Maps: tree and heat maps
  • Market basket analysis (MBA)
  • Using Show Me
  • Text table and highlighted table
  • Building and formatting a dashboard using size, objects, views, filters, and legends
  • Best practices for making creative as well as interactive dashboards
  • Using the actions
  • Creating stories, including the intro of story points
  • Creating as well as updating the story points
  • Adding catchy visuals in stories
  • Adding annotations with descriptions; dashboards and stories
  • What is a dashboard?
  • Highlight actions, URL actions, and filter actions
  • Selecting and clearing values
  • Best practices to create dashboards
  • Dashboard examples; using Tableau workspace and Tableau interface
  • Learning about Tableau joins
  • Types of joins
  • Tableau field types
  • Saving as well as publishing data source
  • Live vs extract connection
  • Various file types
  • Correct execution of the project
  • Scope control
  • WBS creation
  • Requirements collection
  • Monitoring the risks
  • Performing risk analysis
  • Planning the risk responses
  • Identifying the risks
  • Implementing the risk responses
  • Creating a project team
  • Project governance
  • Influence of an organization on project management
  • Project life cycle
  • Project stakeholders
  • Importance of the project team
  • Estimating task durations and allocating the resources
  • Delivering the milestones in a project
  • Defining relationships of numerous elements
  • Project Scope Management
  • Project Cost Management
  • Project Resource Management
  • Project Risk Management
  • Project Stakeholder Management
  • Project Integration Management
  • Project Schedule Management
  • Project Quality Management
  • Project Procurement Management
  • Estimating resource requirements
  • Controlling resource teams
  • Developing resource teams
  • Managing resources
  • Planning resource activities and management
  • Project stakeholders
  • Project resources
  • Project activities
  • Project schedules
  • Coordination of various elements of the project(s)
  • Project life cycle
  • Operations management
  • Project brief
  • Portfolio management
  • Program management and its basics
  • Planning risk responses
  • Identifying risks
  • Monitoring risks
  • Processes of performing risk analysis
  • Implementing the risk responses
  • Estimating the project budget
  • Budget control in projects
  • Allocating the project budgets
  • Estimating the resource cost
  • Controlling the individual activities and project budget
  • Procurement of equipment
  • Procurement of workers in the project
  • Procurement of materials used for the project
  • Planning quality management
  • Methods to test the quality
  • Performing control and quality
  • Defining the quality standards of a project
  • Ensuring the quality standards are met accordingly with the project
  • Performing quality assurance
  • Introduction of SAS software.
  • Industries using SAS
  • Components of SAS System.
  • Architecture of SAS system.
  • Functionality of SAS System.
  • Introduction of SAS windows
  • Working in the SAS Environment
  • Creation database from raw data
  • Output delivery system
  • Combination the dataset
  • Functions
  • Loops in SAS: Do Loops
  • Array
  • PROCEDURES
  • GRAPHS
  • ProcSql
  • Macro
  • Why Should You Learn PGCDA Post Graduate Data Analytics Training?

    The annual salary of an PGCDA Post Graduate Data Analytics is $125k.

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    Gain practical insights through case studies based on real-world industry applications, helping bridge the gap between theory and practice.

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    Assignments

    Enhance your analytical skills and understanding with hands-on assignments designed to reinforce key concepts and practical application.

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    Students Reviews

    Explore authentic student feedback on ZebLearn’s expert-led SAP training and foreign language courses. Discover success stories from learners who earned certifications, enhanced their skills, and advanced their careers!

    Neha Kapoor
    Neha Kapoor
    Data Science Consultant
    I found the Post Graduation Certification in Data Analytics from Zeblearn India to be highly valuable. The curriculum was well-designed, and the practical labs were instrumental in applying what I learned. The certification has significantly boosted my confidence in data analysis.
    Nisha Nair
    Data Analyst
    The Post Graduate Data Analytics training at Zeblearn India was outstanding. The curriculum was detailed and covered both basic and advanced topics. The hands-on projects were very helpful in applying theoretical knowledge to real-world scenarios.
    Sneha Bhatia
    Research Scientist
    The Post Graduate Data Analytics training at Zeblearn India was outstanding. The course was well-structured, and the hands-on projects were very helpful in understanding the practical aspects of data analytics. This training has significantly improved my research capabilities.
    Sanjay Desai
    Senior Data Analyst
    Zeblearn Indias Post Graduate Data Analytics course provided in-depth knowledge and practical experience. The instructors were industry experts and the course content was highly relevant. This training has significantly enhanced my data analysis skills.
    Arjun Mehta
    Arjun Mehta
    Senior Data Analyst
    The Post Graduation Certification in Data Analytics from Zeblearn India was a game-changer for me. The course provided in-depth knowledge and hands-on experience with cutting-edge tools and techniques. The expert instructors made complex concepts easy to understand and apply.
    Ramesh Kumar
    Ramesh Kumar
    Analytics Lead
    Zeblearn India’s Post Graduation Certification in Data Analytics provided a thorough understanding of data analytics concepts and tools. The hands-on projects were highly beneficial, and the course has greatly improved my ability to analyze complex data.
    Priya Sinha
    Priya Sinha
    Business Intelligence Specialist
    Zeblearn Indias Post Graduation Certification in Data Analytics was comprehensive and well-structured. The practical assignments and real-world case studies were particularly useful. This certification has enhanced my analytical skills and opened up new career opportunities.
    Meera Kulkarni
    Data Scientist
    The Post Graduate Data Analytics course at Zeblearn India was exceptional. The training covered a wide range of topics, and the practical labs were particularly useful in understanding how to implement data analytics algorithms. This course has been instrumental in advancing my career.
    Arjun Joshi
    Data Engineer
    The Post Graduate Data Analytics course at Zeblearn India was very comprehensive. The training provided a good balance of theory and practical application. The skills I gained have been invaluable in my role as a data engineer, allowing me to build more sophisticated models.
    Anil Kumar
    Anil Kumar
    Data Science Specialist
    The Post Graduation Certification in Data Analytics at Zeblearn India was an excellent investment. The course content was relevant and practical, and the instructors were highly knowledgeable. The certification has been a significant boost to my professional development.

    PGCDA Training Program - Flexible batches for you

    Date Type Schedule Time
    SOLD OUT 21 June 2025 Weekend SAT - SUN (08 Week) 18:00 To 20:00
    Filling Img 26 June 2025 Weekday MON - FRI (08 Week) 08:00 To 10:00
    1 July 2025 Weekend MON - FRI (08 Week) 10:00 To 00:00

    Price  1,20,000

    Now  95,000

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