Batch ID-MS1023006

Course Instructor Meritshot

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Course Overview

Schedule of Classes

Course Curriculum

1 Subject

Batch ID-MS1023006

2 Exercises • 166 Learning Materials

Examinations

Excel Proficiency Test

Exercise

Tableau Proficiency Assessment

Exercise

PYTHON TUTORIALS

ANONYMOUS FUNCTION

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BREAK, CONTINUE MAP FILTER REDUCE

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CONDITIONAL

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data-structure

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data-type

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functions

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ListOfContents

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loops

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OOPS

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operators

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parameters-and-arguments

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Space&time

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strings

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variables-done

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vertopal.com_REGULAR EXP

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SQL TUTORIAL

List Of Contents

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1(i)_SQL_Intro

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1(ii) SQL Syntax

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1(iii) SQL SELECT Statement

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1(iv) SQL SELECT DISTINCT

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1(v) SQL WHERE Clause

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1(vi) SQL ORDER BY Clause

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1(vii) SQL Logical Operators

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2(i) SQL INSERT INTO

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2(ii) SQL NULL Values

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2(iii) SQL UPDATE Statement

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2(iv) SQL DELETE Statement

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3(i) SQL SELECT TOP

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3(ii) SQL Aggregate Functions

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3(iii) SQL LIKE and Wildcards

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3(iv) SQL IN and SQL BETWEEN

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4 Sql Joins

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5(i) SQL GROUP BY

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5(ii) SQL HAVING

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5(iii) SQL EXISTS

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5(iv) SQL ANY and ALL

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6(i) SQL SELECT INTO

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6(ii) SQL INSERT INTO SELECT

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6(iii) SQL CASE Statement

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6(iv) SQL NULL Functions

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7(i) SQL Stored Procedures

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7(ii)SQL User Defined Functions

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7(iii) SQL Comments

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7(iv) SQL Operators

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8(i) SQL Database Creation and Management

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8(ii) SQL CREATE DATABASE Statement

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8(iii) SQL DROP DATABASE Statement

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8(iv) SQL CREATE TABLE Statement

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8(v) SQL DROP TABLE Statement

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8(vi) SQL ALTER TABLE Statement

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9(i) SQL NOT NULL Constraint

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9(ii) SQL UNIQUE Constraint

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9(iii) SQL PRIMARY KEY Constraint

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9(iv) SQL FOREIGN KEY Constraint

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9(v) SQL CHECK Constraint

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9(vi) SQL DEFAULT Constraint

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10(i) SQL Indexes

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10(ii) SQL AUTO INCREMENT

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11(i) SQL Date Functions

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11(ii) SQL Views

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12(i) SQL Injection

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13(i) SQL Data Types Overview

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14(i) SQL Keywords Reference

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15 Accessing and Loading Databases

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16 Introduction to PySpark in Python

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17 Spark for Big Data Analysis

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R PROGRAMMING TUTORIALS

Table of Contents_R

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Module1 Module 2_R-Programming

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Module 3 R-Basic Syntax

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4th Module_R programming

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5th Module Data Structures in R

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6_th Module_R Variables

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7th_Module_R-Operators

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8th 9th module

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10th 11th Module

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12th 13th Module_R programming

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14th Module_R programming

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15th_R-CSV Files

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16th_Statistics in R

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17th Module Probability in R

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18ThModule_Hypothesis testing in R

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19thModule_Confidence intervals in R

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20th Module Correlation And Covariance in R

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21st Probability Plots and Diagnostics in R

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22th Module_Error Metrices in R

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23th_Curves in R

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Cybersecurity Tutorials

Introduction of PGP Cyber Security Program

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Module 2

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Module 3

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Module 4Text ProcessingusingGREPSEDandAWK

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Module 5 Introduction to Ethical Hacking

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Module 6

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Module 7

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Module 8 Enumeration

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Module 9

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Module 10 System Hacking

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Module 11

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Module 12

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Module 13

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Module 14Denial-of-Service

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Module 15 Session Hijacking

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Module 16

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Module 17 Hacking Web Servers

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Module 18 Hacking Web Applications

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Module 19

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Module 20HackingWirelessNetworks

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Module 21 Hacking Mobile Platforms

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Module 22 IoTHacking

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Module 23

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Module 24

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Tableau Tutorials

1-1 Overview of Tableau

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1-2 Key Features and Benefits of Tableau

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1-3 Tableau Desktop vs Tableau Online vs Tableau Server

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1-4 Navigating the Tableau Interface

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2-1 Intro to Charts in Tableau

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2-1-1 Creating Simple Calculated Fields

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2-1-2 Common Calculations

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2-1-3 Best Practices for Calculated Fields

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2-2 Bar Chart

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2-2-1 Overview of Table Calculations

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2-2-2 Common Table Calculations

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2-2-3 Customizing Table Calculations

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2-3 Line Chart

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2-3-1 Aggregations in Tableau

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2-3-2 Applying Aggregations to Data

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2-3-3 Best Practices for Aggregation

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2-4 Pie Chart

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2-4-1 Granularity in Tableau

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2-4-2 Adjusting Granularity in Your Visualizations

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2-4-3 Examples of Granularity in Different Scenarios

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2-5 Scatter Plots

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2-5-1 Level of Detail(LOD)

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2-5-2 Different Types of LOD Expressions

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2-5-3 Practical Use Cases and Examples

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2-6 Histograms

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2-7 Customizing Charts

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3-1 Introduction to Geographic Data

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3-1-1 Understanding Data Extracts

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3-1-2 Creating and Refreshing Extracts in Tableau

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3-1-3 Benefits of Using Extracts vs

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3-2 Creating Basic Maps

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3-2-1 Filters in Tableau

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3-2-2 Creating Interactive Filters

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3-2-3 Using Filter Actions in Dashboards

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3-3 Customizing Maps

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3-3-1 Introduction to Dashboards

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3-3-2 Designing and Building Dashboards

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3-3-3 Adding Interactivity

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3-4 Using Map Filters

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3-4-1 Tableau Storyboards

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3-4-2 Creating a Tableau Story

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3-4-3 Designing Storyboards for Effective Communication

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3-5-1 Formatting in Tableau

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3-5-2 Customizing Appearance

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3-5-3 Best Practices for Dashboard Formatting

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4-1 Principles of Effective Data Visualization

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4-2 Understanding Data Types and Data Structure

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4-3 Choosing the Right Visualization for Your Data

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5-1 Creating and Formatting Reports

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5-2 Adding Filters and Parameters to Reports

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5-3 Publishing and Sharing Reports

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Statistics and hypothesis testing Tutorials

Basic Concepts of Statistics

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Descriptive Statistics

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PROBABILITY And Its Basics

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Inferential Statistics

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Statistics and Hypothesis Testing

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Course Instructor

Meritshot

71 Courses • 15492 Students