Mô tả

[Jan 2024 update]

  • Added a new section on how to practice SQL using fun case studies.

  • Added a video on "How to use ChatGPT for increasing Excel productivity"

  • Added a video on "How to integrate ChatGPT inside Excel using openAI API"

You're looking for a complete course on how to become a data analyst, right?

You've found the right Data Analyst Masterclass with Excel, SQL & Python course! This course will teach you data-driven decision-making, data visualization, data analytics in SQL, and the use of predictive analytics like linear regression in business settings.

After completing this course you will be able to:

  • Master Excel's most popular lookup functions such as Vlookup, Hlookup, Index, and Match

  • Become proficient in Excel data tools like Sorting, Filtering, Data validations, and Data importing

  • Make great presentations using Bar charts, Scatter Plots, Histograms, etc.

  • Become proficient in SQL tools like GROUP BY, JOINS, and Subqueries

  • Become competent in using sorting and filtering commands in SQL

  • Learn how to solve real-life business problems using the Linear Regression technique

  • Understand how to interpret the result of the Linear Regression model and translate them into actionable insight

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this course on Data Analyst Skillpath in Excel, SQL, and Python.

If you are a student, business manager, or business analyst, or an executive who wants to learn Data Analytics concepts and apply data analytics techniques to real-world problems of the business function, this course will give you a solid base for Data Analytics by teaching you the most popular data analysis models and tools

Why should you choose this course?

We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts through how-to examples. Each section has the following components:

  • Concepts and use cases of different Statistical tools required for evaluating data analytics models

  • Step-by-step instructions on implementing data analytics models

  • Downloadable files containing data and solutions used in the course

  • Class notes and assignments to revise and practice the concepts

The practical classes where we create the model for each of these strategies are something that differentiates this course from any other course available online.

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

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.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts like Data Analytics in MS Excel, SQL, and Python. Each section contains a practice assignment for you to practically implement your learning on Data Analytics.

What is covered in this course?

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 Python. 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 - Preprocessing Data for ML models

In this section, you will learn what actions you need to take step by step to get the data and then prepare it for analysis, these steps are very important. We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do univariate analysis and bivariate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation, and correlation.

  • Part 4 - Linear regression model for predicting metrics

This section starts with simple linear regression and then covers multiple linear regression.

We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.

I am pretty confident that the course will give you the necessary knowledge on Data Analysis, and the skillsets of a Data Analyst to immediately see practical benefits in your workplace.

Go ahead and click the enroll button, and I'll see you in lesson 1 of this Data Analyst Skillpath course!

Cheers

Start-Tech Academy

Bạn sẽ học được gì

Yêu cầu

Nội dung khoá học

42 sections

Introduction

2 lectures
Introduction
04:01
Course Resources
00:04

Excel Basics

7 lectures
Milestone!
03:31
Basics
08:18
Worksheet Basics
16:41
Data Formats
08:36
Data Handling Basics - Cut, Copy and Paste
13:56
Saving and Printing - Basics
08:56
Quiz
2 questions

Essential Formulas

17 lectures
Basic Formula Operations
13:10
Mathematical Functions Part-1
11:35
Mathematical Functions Part-2
07:31
Quiz
2 questions
Difference between RANK, RANK.AVG and RANK.EQ
00:36
Exercise 1: Mathematical Functions
00:12
Textual Functions Part -1
08:45
Textual Functions Part -2
08:37
Exercise 2: Textual Functions
00:07
Quiz
1 question
Logical Functions
11:13
Exercise 3: Logical Functions
00:13
Date-Time Functions
06:59
Exercise 4: Date-Time Functions
00:09
Lookup Functions (V Lookup, Hlookup, Index-Match)
08:34
Exercise 5: Lookup Functions
00:10
Quiz
2 questions

XLookup - only for Excel 2021 and Office 365

4 lectures
XLookup as a replacement of Vlookup
09:17
Handling #NA and Approximates match in Xlookup
12:10
Wildcard matching in XLookup
04:28
Search modes in XLookup
05:08

Data Tools

7 lectures
Sorting, Filtering and Data Validation
13:16
Text-to-columns and remove duplicates
05:40
Advanced Filter option
22:13
Exercise 6: Data Tools
00:12
Formatting data and tables
18:00
Exercise 7: Formatting
00:10
Quiz
2 questions

Excel Charts

14 lectures
Importance of data visualization
02:09
Elements of charts
05:23
The Easy way of creating charts
03:17
Bar and column charts
12:38
Formatting Charts Part 1
10:14
Formatting Charts Part 2
04:59
Line Charts
09:04
Area Charts
05:51
Pie and Doughnut Charts
12:58
Scatter plot or XY chart
14:22
Waterfall Charts
12:00
Sparklines
05:43
Exercise 8: Charts
00:12
Quiz
2 questions

Pivot table and Pivot charts

3 lectures
Pivot Tables
08:53
Exercise 9: Pivot tables
00:08
Pivot Charts
05:05

NEW! Analyze Data option in Excel - only for Microsoft 365 users

1 lectures
Analyze Data option in Excel
09:57

Maps Chart - only for Excel 2019 and above

1 lectures
Maps chart
10:00

Using ChatGPT with Excel

2 lectures
Use ChatGPT for Excel problems
13:31
Integrate ChatGPT with Excel using API
09:24

Macros

3 lectures
Macros
10:04
Exercise 10: Macros
00:10
Quiz
2 questions

Importing data from External Sources

2 lectures
Importing tables from PDF - Excel 2021 and office 365
15:22
Importing data from Websites - Excel 2019 and office 365
11:26

SQL Introduction

1 lectures
Introduction
04:45

Installation and getting started

2 lectures
Installing PostgreSQL and pgAdmin in your PC
10:44
If pgAdmin is not opening...
00:44

Database Basics

4 lectures
What is SQL
01:49
Tables and DBMS
03:10
Types of SQL commands
04:30
PostgreSQL
02:29

Fundamental SQL statements

25 lectures
CREATE
11:40
Exercise 1: Create DB and Table
01:24
Solutions to all Exercises
00:05
INSERT
09:07
PRIMARY KEY FOREIGN KEY
05:02
Import data from File
04:59
Exercise 2 Inserting and Importing data
00:57
SELECT statement
03:40
Quick coding exercise on Select Statement
1 question
SELECT DISTINCT
06:05
Quick coding exercise on Distinct Command
1 question
WHERE
04:02
Quick coding exercise on Where Statement
1 question
Logical Operators
06:03
Quick coding exercise on Logical Operators
1 question
Exercise 3 SELECT, WHERE & Logical
01:16
UPDATE
05:24
Quick coding exercise on Update Command
1 question
DELETE
04:11
Quick coding exercise on Delete Command
1 question
ALTER Part 1
06:49
ALTER Part 2
10:31
Quick coding exercise on Alter Command
1 question
Exercise 4 Update, Delete and Alter Table
01:03
Quiz
2 questions

Restore and Back-up

5 lectures
Restore and Back-up
07:37
Debugging restoration issues
08:26
Creating DB using CSV files
05:40
Debugging summary and Code for CSV files
01:15
Exercise 5 Restore and Back-up
00:51

Selection commands: Filtering

8 lectures
IN
04:18
Quick coding exercise on IN operator
1 question
BETWEEN
05:40
Quick coding exercise on Between Operator
1 question
LIKE
08:52
Quick coding exercise on Like operator
1 question
Exercise 6: In, Like & Between
00:51
Quiz
1 question

Selection commands: Ordering

6 lectures
Side Lecture Commenting in SQL
01:21
ORDER BY
07:42
Quick coding exercise on Order by Clause
1 question
LIMIT
03:38
Quick coding exercise on Limit Command
1 question
Exercise 7 Sorting
00:47

Alias

2 lectures
AS
03:33
Quick coding exercise on AS operator
1 question

Aggregate Commands

10 lectures
COUNT
05:07
Quick coding exercise on Count function
1 question
SUM
03:24
Quick coding exercise on Sum function
1 question
AVERAGE
02:53
Quick coding exercise on Average function
1 question
MIN MAX
04:18
Quick coding exercise on MIN & MAX function
1 question
Exercise 8 Aggregate functions
01:19
Quiz
1 question

Group By Commands

6 lectures
GROUP BY
11:42
Quick coding exercise on Group By Clause
1 question
HAVING
05:04
Quick coding exercise on Having Clause
1 question
Exercise 9 Group By
01:13
Quiz
1 question

Conditional Statement

2 lectures
CASE WHEN
05:17
Quick coding exercise on CASE WHEN Statement
1 question

JOINS

21 lectures
Introduction to Joins
02:54
Concepts of Joining and Combining Data
11:58
Preparing the data
02:01
Inner Join
08:04
Quick coding exercise on Inner Join
1 question
Left Join
07:30
Quick coding exercise on Left Join
1 question
Right Join
06:27
Quick coding exercise on Right Join
1 question
Full Outer Join
04:59
Quick coding exercise on Full Outer Join
1 question
Cross Join
04:21
Quick coding exercise on Cross Join
1 question
Intersect and Intersect ALL
07:06
Quick coding exercise on Intersect and Intersect ALL
1 question
Except
02:53
Quick coding exercise on Except
1 question
Union
03:09
Quick coding exercise on Union Operator
1 question
Exercise 10 Joins
01:18
Quiz
1 question

Subqueries

7 lectures
Part-1 Subquery in WHERE clause
04:55
Quick coding exercise on Subquery in Where Clause
1 question
Part-2 Subquery in FROM clause
05:23
Quick coding exercise on Subquery in From Clause
1 question
Part-3 Subquery in SELECT clause
04:02
Quick coding exercise on Subquery in Select Clause
1 question
Exercise 11 Subqueries
01:21

Fun way to practice SQL

1 lectures
Solve Murder Mystery using SQL
00:25

Views and Indexes

7 lectures
VIEWS
07:14
Quick coding exercise on Views
1 question
INDEX
06:25
Quick coding exercise on Index
1 question
How Index works in SQL
01:27
Exercise 12 Views
00:47
Quiz
1 question

String Functions

14 lectures
LENGTH
03:22
Quick coding exercise on LENGTH function
1 question
UPPER LOWER
02:10
Quick coding exercise on UPPER LOWER function
1 question
REPLACE
04:13
Quick coding exercise on REPLACE function
1 question
TRIM LTRIM RTRIM
06:56
Quick coding exercise on TRIM, LTRIM, RTRIM functions
1 question
CONCATENATION
02:56
Quick coding exercise on CONCATENATION function
1 question
SUBSTRING
06:01
Quick coding exercise on SUBSTRING function
1 question
LIST AGGREGATION
04:54
Exercise 13 String Functions
02:28

Mathematical Functions

10 lectures
CEIL FLOOR
03:20
Quick coding exercise on CEIL & FLOOR functions
1 question
RANDOM
05:04
SETSEED
04:12
ROUND
02:27
Quick coding exercise on ROUND function
1 question
POWER
02:18
Quick coding exercise on POWER function
1 question
Exercise 14 Mathematical Functions
01:34
Quiz
1 question

Date-Time Functions

6 lectures
CURRENT DATE TIME
04:25
Quick coding exercise on CURRENT DATE & TIME function
1 question
AGE
03:50
EXTRACT
08:16
Exercise 15 Date-time functions
01:24
Quiz
1 question

PATTERN (STRING) MATCHING

6 lectures
PATTERN MATCHING BASICS
07:33
Quick coding exercise on Pattern Matching Basics
1 question
ADVANCE PATTERN MATCHING (REGULAR EXPRESSIONS) Part 1
08:29
ADVANCE PATTERN MATCHING (REGULAR EXPRESSIONS) Part 2
06:49
Exercise 16 Pattern Matching
01:42
Quiz
1 question

Window Functions

17 lectures
Introduction to window functions
09:57
Introduction to row numbers
06:04
Implementing row numbers in SQL
19:19
Quick coding exercise on Row number
1 question
RANK and DENSERANK
07:19
Quick coding exercise on RANK and DENSERANK
1 question
NTILE
07:20
Quick coding exercise on NTILE function
1 question
AVERAGE
08:18
Quick coding exercise on AVERAGE function
1 question
COUNT
03:55
Quick coding exercise on COUNT function
1 question
SUM TOTAL
11:14
Quick coding exercise on SUM TOTAL function
1 question
Running Total
06:58
LAG and LEAD
08:17
Quick coding exercise on LAG and LEAD function
1 question

Data Type conversion functions

4 lectures
Converting Numbers Date to String
10:46
Quick coding exercise on Converting Numbers/ Date to String function
1 question
Converting String to Numbers Date
05:49
Quick coding exercise on Converting String to Numbers/ Date function
1 question

Showcasing SQL Skills with HackerRank Stars

2 lectures
Showcasing SQL Skills with HackerRank Stars
00:48
Showcasing SQL Skills with HackerRank Stars
00:48

Introduction to Linear Regression

1 lectures
Welcome to the module
03:15

Setting up Python and Jupyter Notebook

19 lectures
Installing Python and Anaconda
03:04
Opening Jupyter Notebook
09:06
Introduction to Jupyter Notebook Part 1
08:48
Introduction to Jupyter Notebook Part 2
04:39
Arithmetic operators in Python Python Basics
04:28
Quick coding exercise on arithmetic operators
1 question
Strings in Python Part 1
09:49
Strings in Python Part 2
09:18
Quick coding exercise on String operations
1 question
Lists Tuples and Directories Part 1
06:26
Lists Tuples and Directories Part 2
06:37
Lists Tuples and Directories Part 3
05:37
Quick coding exercise on Tuples
1 question
Working with Numpy Library of Python
11:54
Quick coding exercise on NumPy Library
1 question
Working with Pandas Library of Python
09:15
Quick coding exercise on Pandas Library
1 question
Working with Seaborn Library of Python
08:57
Python file for additional practice
00:11

Integrating ChatGPT with Python

1 lectures
Integrating ChatGPT with Jupyter notebook
05:47

Basics of Statistics

5 lectures
Types of Data
04:04
Types of Statistics
02:45
Describing data Graphically
11:37
Measures of Centers
07:05
Measures of Dispersion
04:37

Introduction to Machine Learning

2 lectures
Introduction to Machine Learning
16:03
Building a Machine Learning Model
08:42

Data Preprocessing

18 lectures
Gathering Business Knowledge
02:53
Data Exploration
03:19
The Dataset and the Data Dictionary
07:31
Importing Data in Python
06:04
Univariate analysis and EDD
03:31
EDD in Python
12:11
Outlier Treatment
04:15
Outlier Treatment in Python
14:18
Missing Value Imputation
03:36
Missing Value Imputation in Python
04:57
Seasonality in Data
03:35
Bi-variate analysis and Variable transformation
16:14
Variable transformation and deletion in Python
09:21
Non-usable variables
04:44
Dummy variable creation Handling qualitative data
04:50
Dummy variable creation in Python
05:45
Correlation Analysis
10:05
Correlation Analysis in Python
07:07

Linear Regression

18 lectures
The Problem Statement
01:25
Basic Equations and Ordinary Least Squares (OLS) method
08:13
Assessing accuracy of predicted coefficients
14:40
Assessing Model Accuracy RSE and R squared
07:19
Simple Linear Regression in Python
14:07
Multiple Linear Regression
04:57
The F - statistic
08:22
Interpreting results of Categorical variables
05:04
Multiple Linear Regression in Python
14:13
Test-train split
09:32
Bias Variance trade-off
06:01
More about test-train split
00:12
Test train split in Python
10:19
Linear models other than OLS
04:18
Subset selection techniques
11:34
Shrinkage methods Ridge and Lasso
07:14
Ridge regression and Lasso in Python
23:50
The final milestone!
01:33

Congratulations & about your certificate

1 lectures
Bonus Lecture
00:58

Đánh giá của học viên

Chưa có đánh giá
Course Rating
5
0%
4
0%
3
0%
2
0%
1
0%

Bình luận khách hàng

Viết Bình Luận

Bạn đánh giá khoá học này thế nào?

image

Đăng ký get khoá học Udemy - Unica - Gitiho giá chỉ 50k!

Get khoá học giá rẻ ngay trước khi bị fix.