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    Course content

    About Professional Certificate Program in DATA Analysis (4-in-1 Tools: Python, Tableau, SQL, Power BI) in Hughes Springs

  • 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 Module - 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 the 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 Data Frames 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 Visuals in Power BI?
  • What Are Custom Visuals?
  • Creating Visualizations and Color 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
  • KPIs, 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
  • Read 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 Extract, etc.

  • 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 Add Image
  • 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

  • Calculation Syntax and Functions in Tableau
  • Various Types of Calculations, Including Table, String, Date, Aggregate, Logic, and Number
  • LOD Expressions, Including Concept and Syntax
  • Aggregation and Replication with LOD Expressions
  • Nested LOD Expressions
  • Levels of Details: Fixed Level, Lower Level, and Higher Level
  • Quick Table Calculations
  • Creation of Calculated Fields
  • Predefined Calculations
  • How to Validate

  • 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 Axes Charts
  • Dual Axes Charts
  • Box Plot
  • Motion Charts
  • Pareto Charts
  • Funnel Charts
  • Pie Charts
  • Bar Charts
  • Line Charts
  • Bubble Charts
  • Bullet Charts
  • Scatter Charts
  • Waterfall Charts
  • Tree Maps
  • Heat Maps
  • Market Basket Analysis (MBA)
  • Using Show Me
  • Text Table
  • 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
    • Why Should You Learn Professional Certificate Program in DATA Analysis (4-in-1 Tools: Python, Tableau, SQL, Power BI) in Hughes Springs Training?

    The annual salary of an Professional Certificate Program in DATA Analysis (4-in-1 Tools: Python, Tableau, SQL, Power BI) in Hughes Springs is $125k.

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    Track Week Days Course Duration Fast Track
    Week Days 40-45 Days 2 Hrs. Per Day Online
    Course Duration 7 Weekends 3 Hrs. Per Day Online
    Fast Track 8 Days 6+ Hrs. Per Day Online

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    (28 March ) 60 Minutes WEBINAR with CERTIFICATE

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    Students Reviews

    Read genuine student reviews on ZebLearn’s expert-led SAP training and foreign language courses. Hear success stories from learners who gained certifications, skills, and career growth!

    Rajesh Rao
    Python Developer
    Learning Python in conjunction with Tableau, SQL, and Power BI was a great experience. The course was well-structured, making complex concepts easy to grasp and apply.
    Kiran Mehta
    BI Analyst
    The courses focus on Python, SQL, Tableau, and Power BI was highly effective. The hands-on projects and expert instruction provided me with the skills needed for advanced business analytics.
    Arjun Sharma
    SQL Analyst
    The training provided a deep dive into SQL, with supplementary focus on Python, Tableau, and Power BI. It was invaluable for improving my SQL querying and data manipulation skills.
    Ashok Desai
    Data Analyst
    ZebLearnIndias course on Python, SQL, Tableau, and Power BI was comprehensive and engaging. The knowledge gained has been directly applicable to my data analysis tasks.
    Swati Reddy
    Data Analytics Manager
    The course provided a solid foundation in Python, SQL, Tableau, and Power BI. The knowledge gained has been pivotal in managing and analyzing data more effectively.
    Ritu Agarwal
    Business Analyst
    This course was a perfect blend of Python, Tableau, SQL, and Power BI. The practical skills gained have significantly enhanced my ability to analyze and present data.
    Nikhil Sharma
    Data Reporting Specialist
    The training on Python, SQL, Tableau, and Power BI was incredibly useful. The courses practical approach enabled me to enhance my skills in data reporting and visualization.
    Aman Verma
    Analytics Consultant
    The Post Graduate Certificate Program in Python, SQL, Tableau, and Power BI was outstanding. The course content was practical and directly applicable to my consulting projects.
    Vikram Singh
    SQL Developer
    This course provided an in-depth understanding of SQL along with Python, Tableau, and Power BI. The balanced approach to all four tools has been invaluable for my development work.
    Priya Joshi
    Data Visualization Specialist
    The comprehensive coverage of Tableau and Power BI, along with Python and SQL, was perfect for my role. The courses practical applications have greatly enhanced my data visualization skills.

    Professional Certificate Program in DATA Analysis (4-in-1 Tools: Python, Tableau, SQL, Power BI) in Hughes Springs - Flexible batches for you

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    SOLD OUT 28 March 2025 Weekend SAT - SUN (08 Week) 18:00 To 20:00
    Filling Img 2 April 2025 Weekday MON - FRI (08 Week) 08:00 To 10:00
    7 April 2025 Weekend MON - FRI (08 Week) 10:00 To 00:00

    Price  1,20,000

    Now  95,000

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