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The Elysium Certified Data Analyst Training Course offers comprehensive instruction in R, Tableau, and Power BI, To build expertise in data analysis and visualization. Additionally, students can enhance their programming skills with a Core & Advanced Python Programmer Course, Upon completion of these courses, students gain industry-relevant knowledge and tools to excel in the field of data analytics. Elysium provides 100% placement assurance, ensuring opportunities in top organizations. This program is designed to equip learners with the skills required for high-demand roles.

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Master data analysis fundamentals, including data manipulation, visualization, and reporting.
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The Elysium Certified Data Analyst – Training Course offers learners the opportunity to master essential data analysis skills using industry-standard tools. Dive into the fascinating world of data analytics and learn SQL, Excel, Tableau, and Power BI with the guidance of experienced instructors. Learners will emerge prepared to tackle real-world data analysis challenges. Here are some of the skills you will need to learn if you want to become a data analyst.

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The Data Analyst course teaches you to master the concepts of data analysis. Through this training, you will learn Data Manipulation, Data Visualization, Statistical Analysis, SQL, Excel, and Business Intelligence Tools.

Future Scope of this Course

Data Analysis is the infrastructure that enables the extraction of insights from data.
Data Analysis is the comprehensive study of data collected by various organizations.
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Data Analysts understand data and derive meaningful insights.
Data Analysis is the foundation on which data-driven decision-making and business intelligence are built.

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Chapter-1 R Introduction

R Introduction

Introduction to R Studio
R Installation
R Advantages and Disadvantages
R Hadoop Integration
R Packages
List of R Packages

R Basics

Basic Syntax
Comments
Data Types
Data Structures
Variables
Keywords
Operators
Input/Output

Variables

R Variables
Scope of Variables
Dynamic Scoping
Lexical Scoping

Chapter-2 Control Statements

Control Statements

R If Statement
If-else Statement
else if Statement
R Switch Statement
R Next Statement
R Break Statement

R Loops

R For Loop
R Repeat Loop
R While Loop

R Functions

Create Functions
Function Arguments
Types of Functions
Recursive Function
Conversion Functions
Local and Global Variables

Chapter-3 Data Structures

Data Structures

Strings
Lists
Arrays
Matrix
Data Frame

Object-Oriented Programming

Classes
Objects
Encapsulation
Polymorphism
Inheritance
Abstraction
Looping Over Objects
S3 Class
Explicit
R Debugging
Error Handling

File Handling

Reading Files
Writing Files
Working with Binary Files

Data Interfaces

R CSV File
R Excel File
R Binary File
R JSON File
R XML File
R Database

Data Visualization

R Data Visualization
R Pie Charts
R Boxplot
R Histogram
R Line Graphs
R Scatterplots

Chapter-4 Manipulating Data

Data Manipulation

Selecting Rows/Observations
Selecting Columns/Fields
Merging Data
Relabeling the Column Names
Converting Variable Types
Data Sorting
Data Aggregation

Regression in R

Linear Regression
Multiple Regression
Logistic Regression
Poisson Regression

R Statistics

Normal Distribution
Binomial Distribution
Classification in R
Time Series Analysis
Random Forest in R
T-Test in R Chi-Square Test

Chapter-5 Introduction to Tableau

Introduction to Tableau

What is Tableau
Architecture of Tableau
Features of Tableau
Installation of Tableau Desktop/Public
Navigation
Design Flow
File System
Data Types

Data Sources in Tableau

Data Source Connection
Import Excel File
Data Cleaning
Joining Databases
Data Blending
Splitting Text to Columns
Displaying Data in Worksheet
Adding, Renaming, and Duplicating Fields

Data Visualization and Graphs in Tableau

Pivot Table and Heat Map
Highlight Table
Bar Chart
Line Chart
Area Chart
Pie Chart
Scatter Plot
Word Cloud
Tree Map
Blended Axis
Dual Axis

Chapter-6 Advance Data Visualization/Graph

Bar Chart
Stacked Bar Chart
Bar in Bar Chart
Combo Chart
Line Chart
Single Axis
Dual Axis
Blended Axis
Dual Axis Chart
Line
Bar
Lollipop Chart
Donut
Bullet Graph
Histogram Chart
Animated Graph

Chapter-7 Building View Advance Map Option

Explain Latitude and Longitude
Default Location/Edit Locations
Symbol Map & Filled Map
Map Layer
Image in Map
Map Option

Data Preparation

Connecting to Different Data Sources
Excel
CSV
SQL Server
Live vs Extract Connection
Creating Extract
Refreshing Extract
Increment Extract
Refreshing Live
Data Source Editor
Pivoting and Splitting
Data Interpreter: Clean Dirty Data
TWB vs TWBX
How to Create a Packaged Workbook
Difference Between .tde and .hyper File

Chapter-8 Advanced Data Preparation

Joins

Joins
Inner Join
Left
Right
Outer
Complex Joins
Referential Integrity
Union
Data Blending and When Required
Cross-Database Join

Data Visualization Principles

Why Visualization Comes into the Picture?
Importance of Visualizing Data
Poor Visualization vs Perfect Visualization
Principles of Visualization
Goal of Data Visualization

Basic Filtering/Managing Your Data

Filter
Types of Filters
Quick Filter
Global Filter
Normal Filter
Relevant Filter
Dimension Filter
Measure Filter
Condition-Based Filter
Advanced Filter Using Wildcards
Right-Click Filtering
Top N / Bottom N Filter
Filtering Order of Operation
Extract Filter
Data Source Filter
Context Filter

Building Interactive Dashboards/Advanced Filtering and Actions

Action Filters
Filter
Highlight
Go to URL
Go to Sheet
Set Action
Parameter Action
Action Jumps
Viz in Tooltips

Chapter-9 Basic Calculation

Sorting
Calculation - String, Basic, Dote and Logic
Continuous and Discrete data
Workinq with Dotes
Creating calculated Fields
Logical Functions
Case If Function
ZN Function
Else If Function
Ad-Hoc Functions
Manipulating Text - left and riqht function

Advanced Calculations

Table Calculation
Running Total
Percent Calculation
Percent of Total
Year over Year Growth
LOD
Include
Exclude
Fixed

Chapter-10 Grouping Data/Dynamic Representation

Groups and Sets

Groups
Sets
In/Out Sets
Combined Sets

Top and Bottom in Single View Parameters

Dynamic Measure

Dynamic Dimension

Hierarchies

Bins

Combined Field

Analytical Topics/Capabilities

Trend Line
Forecasting
Clustering
Reference Line
Box Plot (Understanding Outliers in Data)
Distribution Band
Reference Band

Formatting

Size
Updating Axis
Colors
Borders
Transparency
Chart Line
Reference Line
Mark Label
Annotation
Responsive Tool Tip

Dashboard Design

Canvas Selection
Tiled Objects
Floating Objects
Pixel Perfect Alignment
Summary Box
Chart Titles and Captions
Adding Image and Text
Adding Shadowing
Adding Separator Lines
Dynamic Chart Titles
Information Icons
Creating a Story

Sharing Your Dashboard

Publishing to PDF
Exporting to Pivot Tables and Images
Exporting Packaged Workbooks
Tableau Reader
Tableau Online
Tableau Server
Tableau Public
Version Control

Chapter-11 lntroduction To Power Bi

Introduction to Power BI - Need, Importance
Power BI - Advantages and Scalable Options
History - Power View, Power Query, Power Pivot
Power BI Data Source Library and DW Files
Cloud Collaboration and Usage Scope
Business Analyst Tools, MS Cloud Tools
Power BI Installation and Cloud Account
Power BI Cloud and Power BI Service
Power BI Architecture and Data Access
On-Premise Data Access and Microsoft OneDrive
Power BI Desktop - Installation, Usage
Sample Reports and Visualization Controls
Power BI Cloud Account Configuration
Understanding Desktop & Mobile Editions
Report Rendering Options and End User Access
Power View and Power Map, Power BI Licenses

Chapter-12 Report visualizations and Properties

Power BI Design: Conversions, Visualizations, and Fields
Import Data Options with Power BI Model, Advantages
Direct Query Options and Real-time (LIVE) Data Access
Data Fields and Filters with Visualizations
Visualization Filters, Page Filters, Report Filters
Conditional Filters and Clearing, Testing Sets
Creating Customized Tables with Power BI Editor
General Properties, Sizing, Dimensions, and Positions
Alternate Text and Tiles, Header (Column, Row) Properties
Grid Properties (Vertical, Horizontal) and Styles
Table Styles: Alternate Row Colors - Static, Dynamic
Sparse, Flashy Rows, Condensed Table Reports, Focus Mode
Totals Computations, Background, Borders Properties
Column Headers, Column Formatting, Value Properties
Conditional Formatting Options: Color Scale
Page-Level Filters and Report-Level Filters
Visual-Level Filters and Format Options
Report Fields, Formats, and Analytics
Page-Level Filters and Column Formatting, Filters
Background Properties, Borders, and Lock Aspect

Chart and Map Report Properties

Chart Report Types and Properties
Stacked Bar Chart, Stacked Column Chart
Clustered Bar Chart, Clustered Column Chart
100% Stacked Bar Chart, 100% Stacked Column Chart
Line Charts, Area Charts, Stacked Area Charts
Line and Stacked Row Charts
Line and Stacked Column Charts
Waterfall Chart, Scatter Chart, Pie Chart
Field Properties: Axis, Legend, Value, Tooltip
Field Properties: Color Saturation, Filter Types
Formats: Legend, Axis, Data Labels, Plot Area
Data Labels: Visibility, Color, and Display Units
Data Labels: Precision, Position, Text Options
Analytics: Constant Line, Position, Labels
Working with Waterfall Charts and Default Values
Modifying Legends and Visual Filters - Options
Map Reports: Working with Map Reports
Hierarchies: Grouping Multiple Report Fields
Hierarchy Levels and Usage in Visualizations
Preordered Attribute Collection - Advantages
Using Field Hierarchies with Chart Reports
Advanced Query Mode or Connection Settings - Options
Direct Import and In-memory Loads, Advantages

Hierarchies and Drilldown Reports

Hierarchies and Drilldown Options
Hierarchy Levels and Drill Modes - Usage
Drill-through Options with Tree Map and Pie Chart
Higher Levels and Next Level Navigation Options
Aggregates with Bottom/Up Navigations
Multi-Field Aggregations and Hierarchies in Power BI
DRILLDOWN, SHOWNEXTLEVEL, EXPANDTONEXTLEVEL
SEE DATA and SEE RECORDS Options - Differences
Toggle Options with Tabular Data, Filters
Drilldown Buttons and Mouse Hover Options - Visuals
Dependent Aggregations, Independent Aggregations
Automated Records Selection with Tabular Data
Report Parameters: Creation and DataType
Available Values and Default Values, Member Values
Parameters for Column Data and Table / Query Filters
Parameters Creation - Query Mode, UI Option
Linking Parameters to Query Columns - Options
Edit Query Options and Parameter Manage Entries
Connection Parameters and Dynamic Data Sources
Synonyms - Creation and Usage Options

Chapter-13 Power Query & M Language

Power BI Interface and Query / Dataset Edits
Working with Empty Tables and Load / Edits
Empty Table Names and Header Row Promotions
Undo Headers Options. Blank Columns Detection
Data Imports and Query Marking in Query Editor
JSON Files & Binary Formats with Power Query
JavaScript Object Notation - Usage with M Language
Applied Steps and Usage Options. Revert Options
Creating Query Groups and Query References. Usage
Query Rename, Load Enable and Data Refresh Options
Combine Queries - Merge Join and Anti-Join Options
Combine Queries - Union and Union All as New Dataset
M Language: NestedJoin and JoinKind Functions
REPLACE, REMOVE ROWS, REMOVE COL, BLANK - M Language
Column Splits and FilledUp / FilledDown Options
Query Hide and Change Type Options. Code Generation

Power Query & M Language - Part 2

Invoke Function and Freezing Columns
Creating Reference Tables and Queries
Detection and Removal of Query Datasets
Custom Columns with Power Query
Power Query Expressions and Usage
Blank Queries and Enumeration Value Generation
M Language Semantics and Syntax. Transform Types
IF..ELSE Conditions, TransformColumn() Types
RemoveColumns(), SplitColumns(), ReplaceValue()
Table.Distinct Options and GROUP BY Options
Table.Group(), Table.Sort() with Type Conversions
PIVOT Operation and Table.Pivot().List Functions
Using Parameters with M Language (Power Query Editor)
Advanced Query Editor and Parameter Scripts
List Generation and Table Conversion Options
Aggregations using Power Query & Usage in Reports
Report Generation using Web Pages & HTML Tables
Reports from Page Collection with Power Query
Aggregate and Evaluate Options with M Language
Creating High-Density Reports, ArcGIS Maps, ESRI Files
Generating QR Codes for Reports
Table Bars and Drill Thru Filters

Chapter-14 Dax Expressions - Level 1

Dax Expression

Purpose of Data Analysis Expressions (DAX)
Scope of Usage with DAX, Usability Options
DAX Context: Row Context and Filter Context
DAX Entities: Calculated Columns and Measures
DAX Data Types: Numeric, Boolean, Variant, Currency
Date-time Data Type with DAX, Comparison with Excel
DAX Operators & Symbols, Usage, Operator Priority
Parenthesis, Comparison, Arithmetic, Text, Logic
DAX Functions and Types: Table Valued Functions
Filter, Aggregation, and Time Intelligence Functions
Information Functions, Logical, Parent-Child Functions
Statistical and Text Functions, Formulas and Queries
Syntax Requirements with DAX, Differences with Excel
Naming Conventions and DAX Format Representation
Working with Special Characters in Table Names

DAX Expressions - Level 2

YTD, QTD, MTD Calculations with DAX
DAX Calculations and Measures
Using TOPN, RANKX, RANK.EQ
Computations using STDEV, VAR
SAMPLE Function, COUNTALL, ISERROR
ISTEXT, DATEFORMAT, TIMEFORMAT
Time Intelligence Functions with DAX
Data Analysis Expressions and Functions
DATESYTD, DATESQTD, DATESMTD
ENDOFYEAR, ENDOFQUARTER, ENDOFMONTH
FIRSTDATE, LASTDATE, DATESBETWEEN
CLOSINGBALANCEYEAR, CLOSINGBALANCEQTR
SAMEPERIOD and PREVIOUSMONTH, QUARTER
KPIs with DAX, Vertipaq Queries in DAX
IF..ELSEIF.. Conditions with DAX
Slicing and Dicing Options with Columns, Measures
DAX for Query Extraction, Data Mashup Operations
Calculated Columns and Calculated Measures with DAX

Chapter-15 Powerbi Deployment & Cloud

Power BI Report Validation and Publish
Understanding Power BI Cloud Architecture
Power BI Cloud Account and Workspace
Reports and DataSet Items Validation
Dashboards and Pins - Real-time Usage
Dynamic Data Sources and Encryptions
Personal and Organizational Content Packs
Gateways, Subscriptions, Mobile Reports
Data Refresh with Power BI Architecture
PBIX and PBIT Files with Power BI - Usage
Visual Data Imports and Visual Schemas
Cloud and On-Premise Data Sources
How Power BI Supports Data Model?
Relation between Dashboards to Reports
Relation between Datasets to Reports
Relation between Datasets to Dashboards
Page to Report - Mapping Options
Publish Options and Data Import Options
Need for Pins & Visuals and Pins & Reports
Need for Data Streams and Cloud Integration

Power BI Cloud Operations

Report Publish Options and Verifications
Working with Power BI Cloud Interface & Options
Navigation Paths with "My Workspace" Screens
FILE, VIEW, EDIT REPORTS, ACCESS, DRILLDOWN
Saving Reports into pdf, pptx, etc. Report Embed
Report Rendering and EDIT, SAVE, Print Options
Report PIN and individual Visual PIN Options
Create and Use Dashboards. Menu Options
Goto Dashboard and Goto LIVE Page Options
Operations on Pinned Reports and Visuals
TITLE, MEDIA, USAGE METRICS & FAVOURITES
SUBSCRIPTION Options and Reports with Mobile View
Options with Report Page: Print and Subscribe
Report Actions: USAGE METRICS, ANALYSE IN EXCEL
Report Actions: RELATED ITEMS, RENAME, DELETE
Dashboard Actions: METRICS, RELATED ITEMS
Dashboard Actions: SETTINGS FOR Q & A, DELETE
PIN Actions: METRICS, SHARE, RELATED ITEMS
PIN Actions: SETTINGS FOR Q & A, DELETE
EDIT DASHBOARD (CLOUD), On-The-Fly Reports
Dataset Actions: CREATE REPORT, REFRESH
SCHEDULED REFRESH & RELATED ITEMS
Dashboard Integration with Apps in Power BI

Improving Power BI Reports

Publish Power BI Report Templates
Import and Export Options with Power BI
Dataset Navigations and Report Innovations
Quick Navigation Options with "My Workspace"
Dashboards, Workbooks, Reports, Datasets
Working with MY WORKSPACE group
Installing the Power BI Personal Gateway
Automatic Refresh - Possible Issues
Adding images to the dashboards
Reading & Editing Power BI Views</li
Managing report in Power BI Services
PowerBl Gateway - Download and Installation
Personal and Enterprise Gateway Features
PowerBl Settings : Dataset - Gateway lnteqrotion
Configurinq Dataset for Manual Refresh of Data
Configuring Automatic Refresh and Schdules
Workbooks and Alerts with Power BI
Dataset Actions and Refresh Settinqs with Gateway

Chapter-16 Insights And Subscriptions

Data Navigation Paths and Data Splits
Getting data from existing systems
Data Refresh and LIVE Connections
pbit and pbix: differences. Usage Options
Quick Insights for Power BI Reports
Quick Insights for Power BI Dashboards
Generating Insights with Cloud Datasets
Generating Reports with Cloud Datasets
Using relational databases on-premises
Using relational databases in the cloud
Consuming a service content pack
Creating a custom dataset from a service
Creating a content pack for your organization - Consuming an organizational content pack
Updating an organizational content pack
Adding Tiles Images, Videos, Data Streams
Creating New Reports from Cortana, Advantages

Chapter-17 Introduction To Script

Scripting and Programming Concepts

What is Script, Program?
Types of Scripts
Difference between Script and Programming Languages
Features and Limitations of Scripting
Types of Programming Language Paradigms

Introduction to Python

What is Python?
Why Python?
Who Uses Python?
Characteristics of Python
What is PSF (Python Software Foundation)?
History of Python
Python Versions
How to Download and Install Python
Install Python with Different IDEs
Features and Limitations of Python
Creating Your First Python Program
Printing to the Screen
Reading Keyboard Input
Using Command Prompt and GUI or IDE
Python Distributions

Chapter-18 Different Modes In Python

Python Basics

Execute the Script
Interactive and Script Mode
Python File Extensions
Setting PATH in Windows
Clear screen inside Python
Learn Python Main Function
Python Comments
Quit the Python Shell
Shell as a Simple Calculator
Order of Operations
Multiline Statements
Quotations in Python
Python Path Testing
Joining Two Lines
Python Implementation Alternatives
Subpackages in Python
Uses of Python in Data Science, IoT
Working with Python in Unix/Linux/Windows/Mac/Android

Python New IDEs

PyCharm IDE
How to Work on PyCharm
PyCharm Components
Debugging Process in PyCharm
Python Install Anaconda
What is Anaconda?
Coding Environments
Spyder Components
General Spyder Features
Spyder Shortcut Keys
Jupyter Notebook
What is Conda? And Conda List?
Jupyter and Kernels
What is PIP?

Chapter-19 Variables In Python

Variables and Constants in Python

What is a Variable?
Variables and Constants in Python
Variable Names and Values
Mnemonic Variable Names and Types
What Does "Type" Mean?
Multiple Assignment
Python's Different Numerical Types

Python Data Types

What is a Data Type?
Types of Data Types
Numbers
List
Tuple
Strings
Dictionary
Sets

Lists

Lists are Mutable
Getting to Lists
List Indices
Traversing a List
List Operations, Slices, and Methods
Map, Filter, and Reduce
Deleting Elements
Lists and Strings

Tuples

Advantages of Tuple over List
Packing and Unpacking
Comparing Tuples
Creating Nested Tuples
Using Tuples as Keys in Dictionaries
Deleting Tuples
Slicing of Tuple
Tuple Membership Test
Built-in Functions with Tuple

Chapter-20 Dictionary

Dictionary

How to Create a Dictionary?
Python Hashing?
Python Dictionary Methods
Copying Dictionary
Updating Dictionary
Deleting Keys from the Dictionary
Dictionary items() Method
Sorting the Dictionary
Python Dictionary Built-in Functions
Dictionary len() Method
Variable Types
Python List cmp() Method
Dictionary Str(dict)

Set

How to Create a Set?
Iteration Over Sets
Python Set Methods
Python Set Operations Union of Sets
Built-in Functions with Set
Python Frozenset

Strings

What is a String?
String Operations and Indices
Basic String Operations
String Functions, Methods
Delete a String
String Multiplication and Concatenation
Python Keywords, Identifiers, and Literals
String Formatting Operator
Structuring with Indentation in Python
Built-in String Methods

Chapter-21 Python Operators

Operators

Arithmetic, Relational, and Comparison Operators
Python Assignment Operators Short-hand Assignment Operators
Logical Operators or Bitwise Operators Membership Operators
Identity Operators Operator Precedence
Evaluating Expressions

Conditional Statements

How to Use "if condition" in Conditional Structures
if Statement (One-Way Decisions)
if .. else Statement (Two-way Decisions)
How to Use "else condition"
if .. elif .. else Statement (Multi-way)
When "else condition" Does Not Work
How to Use "elif" Condition
How to Execute Conditional Statement with Minimal Code
Nested IF Statement

Chapter-22 Operators

What is an Operator?
Different Types of Operators
Arithmetic Operators
Assignment Operator
Unary Minus Operator
Relational Operators
Logical Operators
Membership Operators
Identity Operators

Python Loops

How to Use "While Loop" and "For Loop"
How to Use For Loop for Set of Other Things Besides Numbers
Break Statements, Continue Statement, Enumerate Function for For Loop
Practical Example: How to Use For Loop to Repeat the Same Statement Over and Again
Break, Continue Statements

Chapter-23 Python Functions What Is A Function?

How to define and call a function in Python
Types of Functions
Significance of Indentation (Space) in Python
How Function Return Value?
Types of Arguments in Functions
Default Arguments and Non-Default Arguments
Keyword Argument and Non-keyword Arguments
Arbitrary Arguments
Rules to define a function in Python
Various Forms of Function Arguments
Scope and Lifetime of Variables
Nested Functions
Call By Value, Call by Reference
Anonymous Functions/Lambda Functions
Passing functions to function
map(), filter(), reduce() functions
What is a Docstring?

Lambda Operator, Filter, Reduce and Map

Lambda function
Filter function
Reduce function
Map function

Chapter-24 List Comprehension

Introduction
Generator Comprehension
Set Comprehension

Modules

Importing module
Math module
Random module
Packages
Composition

Input-Output

Printing on screen
Reading data from keyboard
Opening and closing file
Reading and writing files
Functions

Chapter-25 Exception Handling

Exception
Exception Handling
Except clause
Try...finally clause
User Defined Exceptions

Regular Expressions

Match function
Search function
Matching VS Searching
Modifiers
Patterns

Chapter-26 Packages

Predefined Packages

Predefined Packages
User Defined

Packages File Handling

Text Files
Binary Files
Zip and Unzip Files
Pickling
Unpickling
Reading Program from Another Program in Command Prompt

File Handling

Python File Handling
Python Read Files
Python Write/Create Files
Python Delete Files

Chapter-27 Object Oriented Programming

Constructor

What are Constructors
Is Constructor Mandatory in Python?
Can a Constructor be Called Explicitly?
How Many Parameters Can a Constructor Have?
Parameterized and Non-Parameterized Constructors in Python
Difference Between a Method and Constructor in Python
Difference Between a Method and a Function

Types of Class Variables

Types of Class Variables
Instance Variables
Where Instance Variables Can Be Declared?
Accessing Instance Variables
Static Variables
Declaring Static Variables
Accessing a Static Variable
Local Variables

Types of Class Method

Types of Methods in a Class
Instance Methods
Setter and Getter Methods
Class Methods
Static Methods
Nested Classes
Garbage Collection

Super Function

Super() Function in Python
Which Scenarios Super() Function is Required?
Different Approaches for Calling Method of a Specific Super Class
Different Cases for Super() Function

Polymorphism

Polymorphism
Types of Polymorphism
Overloading
Operator Overloading
Method Overloading
How We Can Handle Overloaded Method Requirements
Constructor Overloading
Overriding
Method Overriding
Constructor Overriding

Abstract Classes

Abstract Classes
What is an Abstract Class in Python?
Types of Methods in Python Based on the Implementation
How to Declare an Abstract Method in Python
Abstract Classes in Python

Chapter-28 Exception Handling & Files

Exception Handling

Types of Error
Syntax and Runtime Errors
What is an Exception?
Exception Handling in Python

Finally Block

Why do We Need Finally Block?
Finally Block in Python
Why Not ‘try except’ Block for Clean-up Activities?
Different Control Flow Cases of try except finally in Python

Nested try-except-finally Blocks

Nested try-except-finally Blocks in Python
Different Cases and Scenarios
Else Block in Python
Possible Combinations with try-except-else-finally

Files

What is a File?
Types of Files
File Modes
Opening and Closing a File
Properties of File Object
Writing Data to a File
Reading Data from a File
With Keyword

Chapter-29 Multithreading

Introduction

What is Multitasking?
Process-based and Thread-based Multitasking
Applications of Multithreading
How to Implement Multithreading?
Different Ways to Create a Thread
Creating a Thread Using Thread Class
Creating a Thread by Inheriting Thread Class

Methods of Thread Class

active_count()
enumerate()
isAlive()
join()
join(seconds)

Synchronization

Synchronization
How to Implement Synchronization?
Synchronization by Using Lock Concept
Synchronization by Using RLock Concept
Difference Between Lock and RLock
Synchronization by Using Semaphore
Bounded Semaphore

Inter Thread Communication

What is Inter Thread Communication?
Inter Thread Communication by Using Event Objects
Inter Thread Communication by Using Condition Object
Inter Thread Communication by Using Queue in Python
Types of Queues
FIFO Queue
LIFO Queue
Priority Queue

Chapter-30 Base Communication And Networking

Python XML Parser

What is XML?
Difference between XML and HTML, XML, JSON, Gson
How to Parse XML and Create XML Node
Python vs JAVA
XML and HTML

Python - Database Communication

What is Database?
Types of Databases
What is DBMS? RDBMS?
What is Big Data?
Types of Data
Oracle MySQL
SQL Server
DB2
Postgres SQL
Executing the Queries
Bind Variables
Installing Oracle Python Modules

Unit Testing with PyUnit

What is Testing?
Types of Testing and Methods
What is Unit Testing?
What is PyUnit?
Test Scenarios, Test Cases, Test Suites

Networking

Socket
Socket Module
Methods
Client and Server
Internet Modules

Chapter-31 Packages

Numpy

Introduction to Numpy
Creating Arrays and Indexing Arrays
Array Transposition
Universal Array Function
Array Processing
Array Input and Output

Pandas

What are Pandas?
Where it is Used?
Series in Pandas
Index Objects
Reindex
Drop Entry
Selecting Entries
Data Alignment
Rank and Sort
Summary Statistics
Index Hierarchy

Matplotlib

Data Visualization
Python for Data Visualization
Welcome to the Data Visualization Section
Introduction to Matplotlib

Chapter-32 Data Science

Data Science

What is Data Science?
Data Science Life Cycle
What is Data Analysis, Data Mining?
Analytics vs Data Science

Internet of Things

Impact of the Internet
What is IoT?
History of IoT
What is Network, Protocol, Smart?
How IoT Works?
The Future of IoT

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