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Become a Data Analyst: Excel, SQL & Tableau – 3-in-1 Bundle

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Boost Your Career with Data Analytics: Learn Excel, SQL & Tableau for Advanced Business Insights & Competitive Advantage


1 - Introduction
  • 1 - Introduction

  • 2 - Excel Basics
  • 2 - Getting started with Excel
  • 3 - Course Resources.html
  • 4 - This is a milestone
  • 5 - Worksheet basics
  • 6 - Entering values and Formulas
  • 7 - Data Formats
  • 8 - Data Handling Basics Cut Copy Paste
  • 9 - Saving and Printing in Excel

  • 3 - Essential Excel functions
  • 10 - Basic Formula Operations
  • 11 - Mathematical Functions Part 1
  • 12 - Mathematical Functions Part 2
  • 13 - Difference between RANK RANKAVG and RANKEQ.html
  • 14 - Textual Functions Part 1
  • 15 - Textual Functions Part 2
  • 16 - Logical Functions
  • 17 - DateTime Functions
  • 18 - Lookup Functions V Lookup Hlookup IndexMatch

  • 4 - Data Tools
  • 19 - Data Tools Part 1
  • 20 - Data Tools Part 2

  • 5 - Formatting data and tables
  • 21 - Formatting data and tables

  • 6 - Pivot Tables
  • 22 - Pivot Tables

  • 7 - Excel Charts
  • 23 - Excel Charts Categories of messages that can be conveyed
  • 24 - Elements of charts
  • 25 - The Easy way of creating charts
  • 26 - Bar and column charts
  • 27 - Formatting charts Part 1
  • 28 - Formatting charts Part 2
  • 29 - Line Charts
  • 30 - Area Charts
  • 31 - Pie and Doughnut Charts
  • 32 - Why we should avoid Pie charts
  • 33 - Scatter plot or XY chart
  • 34 - Frequency Distribution and Histograms
  • 35 - Waterfall Charts
  • 36 - Hierarchy Charts Sunburst and Treemap
  • 37 - Combination charts
  • 38 - Sparklines

  • 8 - Pivot Charts
  • 39 - Pivot Charts

  • 9 - Special purpose charts
  • 40 - Stock charts
  • 41 - Radar charts
  • 42 - Surface charts
  • 43 - Heatmaps

  • 10 - Named Ranges
  • 44 - Named Ranges
  • 45 - Indirect Functions

  • 11 - Excel Shortcuts
  • 46 - Shortcuts

  • 12 - Macros
  • 47 - Macros

  • 13 - Advanced Excel
  • 48 - Advanced Excel Analytics in Excel

  • 14 - Creative Infographics
  • 49 - Infographic Example 1
  • 50 - Infographic Example 2

  • 15 - SQL
  • 51 - Introduction

  • 16 - Installation and getting started
  • 52 - Installing PostgreSQL and pgAdmin in your PC
  • 53 - If pgAdmin is not opening.html

  • 17 - Case Study Demo
  • 54 - Case Study Part 1 Business problems
  • 55 - Case Study Part 2 How SQL is Used

  • 18 - Fundamental SQL statements
  • 56 - CREATE
  • 57 - INSERT
  • 58 - Import data from File
  • 59 - SELECT statement
  • 60 - SELECT DISTINCT
  • 61 - WHERE
  • 62 - Logical Operators
  • 63 - UPDATE
  • 64 - DELETE
  • 65 - ALTER part 1
  • 66 - ALTER part 2

  • 19 - Restore and Backup
  • 67 - Restore and Backup
  • 68 - Debugging restoration issues
  • 69 - Creating DB using CSV files
  • 70 - Debugging summary and Code for CSV files.html

  • 20 - Selection commands Filtering
  • 71 - IN
  • 72 - BETWEEN
  • 73 - LIKE

  • 21 - Selection commands Ordering
  • 74 - Side Lecture Commenting in SQL
  • 75 - ORDER BY
  • 76 - LIMIT

  • 22 - Alias
  • 77 - AS

  • 23 - Aggregate Commands
  • 78 - COUNT
  • 79 - SUM
  • 80 - AVERAGE
  • 81 - MIN MAX

  • 24 - Group By Commands
  • 82 - GROUP BY
  • 83 - HAVING

  • 25 - Conditional Statement
  • 84 - CASE WHEN

  • 26 - JOINS
  • 85 - Introductions to Joins
  • 86 - Concepts of Joining and Combining Data
  • 87 - Preparing the data
  • 88 - Inner Join
  • 89 - Left Join
  • 90 - Right Join
  • 91 - Full Outer Join
  • 92 - Cross Join
  • 93 - Intersect and Intersect ALL
  • 94 - Except
  • 95 - Union

  • 27 - Subqueries
  • 96 - Part1 Subquery in WHERE clause
  • 97 - Part2 Subquery in FROM clause
  • 98 - Part3 Subquery in SELECT clause

  • 28 - Views and Indexes
  • 99 - VIEWS
  • 100 - INDEX

  • 29 - String Functions
  • 101 - LENGTH
  • 102 - UPPER LOWER
  • 103 - REPLACE
  • 104 - TRIM LTRIM RTRIM
  • 105 - CONCATENATION
  • 106 - SUBSTRING
  • 107 - LIST AGGREGATION

  • 30 - Mathematical Functions
  • 108 - CEIL FLOOR
  • 109 - RANDOM
  • 110 - SETSEED
  • 111 - ROUND
  • 112 - POWER

  • 31 - DateTime Functions
  • 113 - CURRENT DATE TIME
  • 114 - AGE
  • 115 - EXTRACT

  • 32 - PATTERN STRING MATCHING
  • 116 - PATTERN MATCHING BASICS
  • 117 - ADVANCE PATTERN MATCHING REGULAR EXPRESSIONS Part 1
  • 118 - ADVANCE PATTERN MATCHING REGULAR EXPRESSIONS Part 2

  • 33 - Windows Functions
  • 119 - Introduction to Window functions
  • 120 - Introduction to Row number
  • 121 - Implementing Row number in SQL
  • 122 - RANK and DENSERANK
  • 123 - NTILE function
  • 124 - AVERAGE function
  • 125 - COUNT
  • 126 - SUM TOTAL
  • 127 - RUNNING TOTAL
  • 128 - LAG and LEAD

  • 34 - COALESCE function
  • 129 - COALESCE function

  • 35 - Data Type conversion functions
  • 130 - Converting Numbers Date to String
  • 131 - Converting String to Numbers Date

  • 36 - User Access Control functions
  • 132 - User Access Control 1 Grant and Revoke
  • 133 - User Access Control 2 Drop Alter users

  • 37 - Nail that Interview
  • 134 - Tablespace
  • 135 - PRIMARY KEY FOREIGN KEY
  • 136 - ACID compliance
  • 137 - Truncate

  • 38 - Performance tuning tips
  • 138 - TIP 1 EXPLAIN
  • 139 - TIP 2
  • 140 - TIP 3
  • 141 - TIP 4 VACCUM
  • 142 - TIP 5
  • 143 - TIP 6 STRING FUNCTIONS
  • 144 - TIP 7 JOINS
  • 145 - TIP 8 SCHEMAS

  • 39 - Database Basics
  • 146 - What is SQL
  • 147 - Tables and DBMS
  • 148 - Types of SQL commands
  • 149 - PostgreSQL

  • 40 - TABLEAU
  • 150 - Introduction
  • 151 - Why Tableau
  • 152 - Tableau Products

  • 41 - Installation and getting started
  • 153 - Installing Tableau desktop and Public
  • 154 - About the data
  • 155 - Connecting to data
  • 156 - Live vs Extract

  • 42 - Combining data to create Data model
  • 157 - Combining data from multiple tables
  • 158 - Relationships in Tableau
  • 159 - Joins in Tableau
  • 160 - Types of Joins in Tableau
  • 161 - Union in Tableau
  • 162 - Physical Logical layer and Data models
  • 163 - The visualization screen Sheet

  • 43 - Data categorization in Tableau
  • 164 - Types of Data Dimensions and Measures
  • 165 - Types of Data Discreet and Continuous
  • 166 - Changing Data type in Tableau

  • 44 - Most used charts
  • 167 - Bar charts
  • 168 - Line charts
  • 169 - Scatterplots

  • 45 - Customizing charts using Marks shelf
  • 170 - Marks cards
  • 171 - Dropping Dimensions and Measures on marks card
  • 172 - Dropping Dimensions on Line chart
  • 173 - Adding marks in scatterplot

  • 46 - Other important charts
  • 174 - Text tables heat map and highlight tables
  • 175 - Pie charts
  • 176 - Area charts
  • 177 - Creating custom hierarchy
  • 178 - Tree map
  • 179 - Dual combination charts
  • 180 - Creating Bins
  • 181 - Histogram

  • 47 - Grouping and Filtering data
  • 182 - Grouping Data
  • 183 - Filtering data
  • 184 - Dimension filters
  • 185 - Measure filters
  • 186 - DateTime filters
  • 187 - Filter options
  • 188 - Types of filters and order of operation
  • 189 - Customizing visual filters
  • 190 - Sorting options

  • 48 - Map chart in Tableau
  • 191 - How to make a map chart
  • 192 - Considerations before making a Map chart
  • 193 - Marks card for customizing maps
  • 194 - Customizing maps using map menu
  • 195 - Layers in a Map
  • 196 - Visual toolbar on a map
  • 197 - Custom background images
  • 198 - Territories in maps
  • 199 - Data blending for missing geocoding

  • 49 - Calculations and Analytics
  • 200 - Calculated fields in Tableau
  • 201 - Functions in Tableau
  • 202 - Table calculations theory
  • 203 - Table calculations in Tableau
  • 204 - Understanding LOD expressions
  • 205 - LOD expressions examples
  • 206 - Analytics pane

  • 50 - Sets and Parameters
  • 207 - Understanding sets in Tableau
  • 208 - Creating Sets in Tableau
  • 209 - Parameters

  • 51 - Dashboard and Story
  • 210 - Dashboard part 1
  • 211 - Dashboard part 2
  • 212 - Story

  • 52 - Appendix
  • 213 - Connecting to SQL data source
  • 214 - Connecting to cloud storage services

  • 53 - Congratulations and about your certificate
  • 215 - The final milestone
  • 216 - Bonus lecture.html
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