Discover the power of Excel and use it to manipulate and analyze data like a pro.
Master SQL queries to extract, filter, and aggregate data from relational databases.
Explore Tableau’s interface and create stunning visualizations that communicate insights.
Develop the skills to integrate data from multiple sources and create interactive dashboards in Tableau.
Apply best practices for data cleaning, wrangling, and transformation in Excel and SQL
Create dynamic and automated reports in Tableau that update with new data.
Use Excel and Tableau to identify trends, patterns, and outliers in data.
Develop a data-driven mindset and use data to make informed business decisions.
Apply critical thinking and problem-solving skills to data analysis challenges.
If you are interested in becoming a data analyst, but feel overwhelmed by the technical skills required, this “Become a Data Analyst: Excel, SQL & Tableau – 3-in-1 Bundle” course is designed for you. You’ll learn Excel, SQL, and Tableau – the essential tools for data analysis – and develop the skills to turn raw data into insights that drive better business decisions.
In this course, you will:
- Develop advanced Excel skills to manipulate and analyze data
- Master SQL queries to extract data from databases
- Create stunning data visualizations in Tableau to communicate insights
Learning these skills will allow you to excel as a data analyst, and open up new career opportunities. You’ll practice real-world examples and complete hands-on exercises, so you can apply your new skills to real-world situations.
This course is different because it offers a comprehensive, 3-in-1 bundle approach that covers all of the key skills required to become a successful data analyst. The course is also taught in an engaging and easy-to-understand format, so you can learn at your own pace and confidently apply your skills in the workplace.
What makes us qualified to teach you?
The course is taught by Abhishek (MBA – FMS Delhi, B. Tech – IIT Roorkee) and Pukhraj (MBA – IIM Ahmedabad, B. Tech – IIT Roorkee). As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problems using Analytics and we have used our experience to include the practical aspects of business analytics in this course. We have in-hand experience in Business Analysis.
We are also the creators of some of the most popular online courses – with over 1,200,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman – Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. – Daisy
What is covered in this course?
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The analysis of data is not the main crux of analytics. It is the interpretation that helps provide insights after the application of analytical techniques that makes analytics such an important discipline. We have used the most popular analytics software tools which are MS Excel, SQL, and Tableau. This will aid the students who have no prior coding background to learn and implement Analytics and Machine Learning concepts to actually solve real-world problems of Data Analysis.
Let me give you a brief overview of the course
- Part 1 – Excel for data analytics
In the first section, i.e. Excel for data analytics, we will learn how to use excel for data-related operations such as calculating, transforming, matching, filtering, sorting, and aggregating data.
We will also cover how to use different types of charts to visualize the data and discover hidden data patterns.
- Part 2 – SQL for data analytics
IN the second section, i.e. SQL for data analytics, we will be teaching you everything in SQL that you will need for Data analysis in businesses. We will start with basic data operations like creating a table, retrieving data from a table etc. Later on, we will learn advanced topics like subqueries, Joins, data aggregation, and pattern matching.
- Part 3 – Data visualization using Tableau
In this section, you will learn how to develop stunning dashboards, visualizations and insights that will allow you to explore, analyze and communicate your data effectively. You will master key Tableau concepts such as data blending, calculations, and mapping. By the end of the course, you will be able to create engaging visualizations that will enable you to make data-driven decisions confidently.
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet, or anything related to any topic, you can always post a question in the course or send us a direct message.
Don’t let technical skills hold you back from pursuing a career in data analysis. Enroll now and start your journey towards becoming a data analyst.
Introduction
Introduction
Excel Basics
Getting started with Excel
Course Resources
This is a milestone!
Worksheet basics
Entering values and Formulas
Data Formats
Data Handling Basics – Cut, Copy, Paste
Saving and Printing in Excel
Essential Excel functions
Basic Formula Operations
Mathematical Functions – Part 1
Mathematical Functions – Part 2
Difference between RANK, RANK.AVG and RANK.EQ
Textual Functions – Part 1
Textual Functions – Part 2
Logical Functions
Date-Time Functions
Lookup Functions ( V Lookup, Hlookup, Index-Match )
Data Tools
Data Tools Part 1
Data Tools Part 2
Formatting data and tables
Formatting data and tables
Pivot Tables
Pivot Tables
Excel Charts
Excel Charts – Categories of messages that can be conveyed
Elements of charts
The Easy way of creating charts
Bar and column charts
Formatting charts Part -1
Formatting charts Part -2
Line Charts
Area Charts
Pie and Doughnut Charts
Why we should avoid Pie charts
Scatter plot or XY chart
Frequency Distribution and Histograms
Waterfall Charts
Hierarchy Charts: Sunburst and Treemap
Combination charts
Sparklines
Pivot Charts
Pivot Charts
Special purpose charts
Stock charts
Radar charts
Surface charts
Heatmaps
Named Ranges
Named Ranges
Indirect Functions
Excel Shortcuts
Shortcuts
Advanced Excel
Advanced Excel: Analytics in Excel
Creative Infographics
Infographic Example 1
Infographic Example 2
Installation and getting started
Installing PostgreSQL and pgAdmin in your PC
If pgAdmin is not opening…
Case Study : Demo
Case Study Part 1 – Business problems
Case Study Part 2 – How SQL is Used
Fundamental SQL statements
CREATE
INSERT
Import data from File
SELECT statement
SELECT DISTINCT
WHERE
Logical Operators
UPDATE
DELETE
ALTER part -1
ALTER part – 2
Restore and Back-up
Restore and Back-up
Debugging restoration issues
Creating DB using CSV files
Debugging summary and Code for CSV files
Selection commands: Filtering
IN
BETWEEN
LIKE
Selection commands: Ordering
Side Lecture: Commenting in SQL
ORDER BY
LIMIT
Aggregate Commands
COUNT
SUM
AVERAGE
MIN & MAX
Group By Commands
GROUP BY
HAVING
Conditional Statement
CASE WHEN
JOINS
Introductions to Joins
Concepts of Joining and Combining Data
Preparing the data
Inner Join
Left Join
Right Join
Full Outer Join
Cross Join
Intersect and Intersect ALL
Except
Union
Subqueries
Part-1 Subquery in WHERE clause
Part-2 Subquery in FROM clause
Part-3 Subquery in SELECT clause
Views and Indexes
VIEWS
INDEX
String Functions
LENGTH
UPPER LOWER
REPLACE
TRIM, LTRIM, RTRIM
CONCATENATION
SUBSTRING
LIST AGGREGATION
Mathematical Functions
CEIL & FLOOR
RANDOM
SETSEED
ROUND
POWER
Date-Time Functions
CURRENT DATE & TIME
AGE
EXTRACT
PATTERN (STRING) MATCHING
PATTERN MATCHING BASICS
ADVANCE PATTERN MATCHING (REGULAR EXPRESSIONS) Part -1
ADVANCE PATTERN MATCHING (REGULAR EXPRESSIONS) Part 2
Windows Functions
Introduction to Window functions
Introduction to Row number
Implementing Row number in SQL
RANK and DENSERANK
NTILE function
AVERAGE function
COUNT
SUM TOTAL
RUNNING TOTAL
LAG and LEAD
COALESCE function
COALESCE function
Data Type conversion functions
Converting Numbers/ Date to String
Converting String to Numbers/ Date
User Access Control functions
User Access Control -1 Grant and Revoke
User Access Control -2 Drop, Alter users
Nail that Interview!
Tablespace
PRIMARY KEY & FOREIGN KEY
ACID compliance
Truncate
Performance tuning tips
TIP 1 (EXPLAIN)
TIP 2
TIP 3
TIP 4 (VACCUM)
TIP 5
TIP 6 ( STRING FUNCTIONS)
TIP 7 (JOINS)
TIP 8 (SCHEMAS)
Database Basics
What is SQL?
Tables and DBMS
Types of SQL commands
PostgreSQL
TABLEAU
Introduction
Why Tableau
Tableau Products
Installation and getting started
Installing Tableau desktop and Public
About the data
Connecting to data
Live vs Extract
Combining data to create Data model
Combining data from multiple tables
Relationships in Tableau
Joins in Tableau
Types of Joins in Tableau
Union in Tableau
Physical Logical layer and Data models
The visualization screen – Sheet
Data categorization in Tableau
Types of Data – Dimensions and Measures
Types of Data – Discreet and Continuous
Changing Data type in Tableau
Most used charts
Bar charts
Line charts
Scatterplots
Customizing charts using Marks shelf
Marks cards
Dropping Dimensions and Measures on marks card
Dropping Dimensions on Line chart
Adding marks in scatterplot
Other important charts
Text tables, heat map and highlight tables
Pie charts
Area charts
Creating custom hierarchy
Tree map
Dual combination charts
Creating Bins
Histogram
Grouping and Filtering data
Grouping Data
Filtering data
Dimension filters
Measure filters
Date-Time filters
Filter options
Types of filters and order of operation
Customizing visual filters
Sorting options
Map chart in Tableau
How to make a map chart
Considerations before making a Map chart
Marks card for customizing maps
Customizing maps using map menu
Layers in a Map
Visual toolbar on a map
Custom background images
Territories in maps
Data blending for missing geocoding
Calculations and Analytics
Calculated fields in Tableau
Functions in Tableau
Table calculations theory
Table calculations in Tableau
Understanding LOD expressions
LOD expressions examples
Analytics pane
Sets and Parameters
Understanding sets in Tableau
Creating Sets in Tableau
Parameters
Dashboard and Story
Dashboard part -1
Dashboard part – 2
Story
Appendix
Connecting to SQL data source
Connecting to cloud storage services
Congratulations and about your certificate
The final milestone!
Bonus lecture
