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Data Analysis With Python Tableau Sql And Power Bi

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What is Data Analysis With Python Tableau SQL And Power BI Training?

Data Analysis Training with Python, SQL, Tableau and Power BI

This data analysis training course brings together Python, SQL, Tableau and Power BI for examining, querying, visualising and communicating data. Explore Python-based analysis workflows, write SQL queries to retrieve and organise information, and build clear dashboards and reports in Tableau and Power BI. The course focuses on the practical tools used to turn raw datasets into structured insights for business analysis and decision-making.

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Curriculum

data analysis training, python data analysis course, tableau certification, sql and power bi program, zeblearnindia review Course Syllabus Structure

The data analysis with Python curriculum blends core programming concepts with statistical modeling techniques. You will master Jupyter notebooks, data cleaning, and visualization using Matplotlib and Seaborn.

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

Beyond Learning

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30 Aug 2026

Weekend

SAT - SUN (08 Weeks)

18:00 - 20:00

FILLING FAST

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Weekday

MON - FRI (08 Weeks)

08:00 - 10:00

AVAILABLE

9 Sep 2026

Weekend

SAT - SUN (08 Weeks)

10:00 - 12:00

Frequently Asked Questions

Q: What topics are covered in a data analysis training program? A: The curriculum includes Python data manipulation, SQL querying, Tableau visualizations, and Power BI reporting. Q: How long does it take to complete a data analysis training course? A: Students typically finish the full sequence in 12 weeks of part‑time study. Q: Do I receive any certification after finishing a data analysis training? A: Upon completion, Zeblearn issues a professional certificate confirming proficiency in Python, SQL, Tableau, and Power BI.

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data analysis training, python data analysis course, tableau certification, sql and power bi program, zeblearnindia review Course Syllabus Structure

Introduction to Python

Sequences and File Operations

Deep Dive – Functions, OOPs, Modules, Errors and Exceptions

Introduction to NumPy, Pandas and Matplotlib

Data Manipulation using MySQL

Excel

Power BI

Power BI Desktop

Modelling with Power BI

Data Analysis Expressions (DAX)

Date and Time

Modelling with Power BI

Power BI Desktop Visualisations

Introduction to Power BI Q&A and Data Insights

Direct Connectivity

BI and Azure ML Integrating Power

Publishing and Sharing

Tableau

Architecture of Tableau

Working with Metadata and Data Blending

Creation of Sets

Working with Filters

Organizing Data and Visual Analytics

Working with Mapping

Working with Calculations and Expressions

Working with Parameters

Charts and Graphs

Dashboards and Stories

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