Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python
Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python, available at $94.99, has an average rating of 4.49, with 225 lectures, 77 quizzes, based on 5467 reviews, and has 67347 subscribers.
You will learn about A Beginner's Guide to Microsoft Excel – Microsoft Excel, Learn Excel, Spreadsheets, Formulas, Shortcuts, Macros Become proficient in Excel data tools like Sorting, Filtering, Data validations and Data importing Master Excel's most popular lookup functions such as Vlookup, Hlookup, Index and Match Make great presentations using Bar charts, Scatter Plots, Histograms etc. Knowledge of all the essential SQL commands 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 problem using the Linear Regression technique Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem Understand how to interpret the result of Linear Regression model and translate them into actionable insight This course is ideal for individuals who are Anyone curious to master Data Analysis in a short span of time or Business Analysts/ Managers who want to expand on the current set of skills It is particularly useful for Anyone curious to master Data Analysis in a short span of time or Business Analysts/ Managers who want to expand on the current set of skills.
Enroll now: Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python
Summary
Title: Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python
Price: $94.99
Average Rating: 4.49
Number of Lectures: 225
Number of Quizzes: 77
Number of Published Lectures: 221
Number of Published Quizzes: 74
Number of Curriculum Items: 302
Number of Published Curriculum Objects: 295
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- A Beginner's Guide to Microsoft Excel – Microsoft Excel, Learn Excel, Spreadsheets, Formulas, Shortcuts, Macros
- Become proficient in Excel data tools like Sorting, Filtering, Data validations and Data importing
- Master Excel's most popular lookup functions such as Vlookup, Hlookup, Index and Match
- Make great presentations using Bar charts, Scatter Plots, Histograms etc.
- Knowledge of all the essential SQL commands
- 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 problem using the Linear Regression technique
- Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem
- Understand how to interpret the result of Linear Regression model and translate them into actionable insight
Who Should Attend
- Anyone curious to master Data Analysis in a short span of time
- Business Analysts/ Managers who want to expand on the current set of skills
Target Audiences
- Anyone curious to master Data Analysis in a short span of time
- Business Analysts/ Managers who want to expand on the current set of skills
[April 2024 update]
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Added a video on the “Analyze Data” option in MS Excel
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Added a video on “How Index works in SQL”
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Added a new section on how to practice SQL using fun case studies.
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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:
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Master Excel’s most popular lookup functions such as Vlookup, Hlookup, Index, and Match
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Become proficient in Excel data tools like Sorting, Filtering, Data validations, and Data importing
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Make great presentations using Bar charts, Scatter Plots, Histograms, etc.
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Become proficient in SQL tools like GROUP BY, JOINS, and Subqueries
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Become competent in using sorting and filtering commands in SQL
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Learn how to solve real-life business problems using the Linear Regression technique
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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:
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Concepts and use cases of different Statistical tools required for evaluating data analytics models
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Step-by-step instructions on implementing data analytics models
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Downloadable files containing data and solutions used in the course
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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 areclass 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
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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.
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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.
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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 likeoutlier treatment, missing value imputation, variable transformation, and correlation.
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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
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Course Resources
Chapter 2: Excel Basics
Lecture 1: Milestone!
Lecture 2: Basics
Lecture 3: Worksheet Basics
Lecture 4: Data Formats
Lecture 5: Data Handling Basics – Cut, Copy and Paste
Lecture 6: Saving and Printing – Basics
Chapter 3: Essential Formulas
Lecture 1: Basic Formula Operations
Lecture 2: Mathematical Functions Part-1
Lecture 3: Mathematical Functions Part-2
Lecture 4: Difference between RANK, RANK.AVG and RANK.EQ
Lecture 5: Exercise 1: Mathematical Functions
Lecture 6: Textual Functions Part -1
Lecture 7: Textual Functions Part -2
Lecture 8: Exercise 2: Textual Functions
Lecture 9: Logical Functions
Lecture 10: Exercise 3: Logical Functions
Lecture 11: Date-Time Functions
Lecture 12: Exercise 4: Date-Time Functions
Lecture 13: Lookup Functions (V Lookup, Hlookup, Index-Match)
Lecture 14: Exercise 5: Lookup Functions
Chapter 4: XLookup – only for Excel 2021 and Office 365
Lecture 1: XLookup as a replacement of Vlookup
Lecture 2: Handling #NA and Approximates match in Xlookup
Lecture 3: Wildcard matching in XLookup
Lecture 4: Search modes in XLookup
Chapter 5: Data Tools
Lecture 1: Sorting, Filtering and Data Validation
Lecture 2: Text-to-columns and remove duplicates
Lecture 3: Advanced Filter option
Lecture 4: Exercise 6: Data Tools
Lecture 5: Formatting data and tables
Lecture 6: Exercise 7: Formatting
Chapter 6: Excel Charts
Lecture 1: Importance of data visualization
Lecture 2: Elements of charts
Lecture 3: The Easy way of creating charts
Lecture 4: Bar and column charts
Lecture 5: Formatting Charts Part 1
Lecture 6: Formatting Charts Part 2
Lecture 7: Line Charts
Lecture 8: Area Charts
Lecture 9: Pie and Doughnut Charts
Lecture 10: Scatter plot or XY chart
Lecture 11: Waterfall Charts
Lecture 12: Sparklines
Lecture 13: Exercise 8: Charts
Chapter 7: Pivot table and Pivot charts
Lecture 1: Pivot Tables
Lecture 2: Exercise 9: Pivot tables
Lecture 3: Pivot Charts
Chapter 8: NEW! Analyze Data option in Excel – only for Microsoft 365 users
Lecture 1: Analyze Data option in Excel
Chapter 9: Maps Chart – only for Excel 2019 and above
Lecture 1: Maps chart
Chapter 10: Using ChatGPT with Excel
Lecture 1: Use ChatGPT for Excel problems
Lecture 2: Integrate ChatGPT with Excel using API
Chapter 11: Macros
Lecture 1: Macros
Lecture 2: Exercise 10: Macros
Chapter 12: Importing data from External Sources
Lecture 1: Importing tables from PDF – Excel 2021 and office 365
Lecture 2: Importing data from Websites – Excel 2019 and office 365
Chapter 13: SQL Introduction
Lecture 1: Introduction
Chapter 14: Installation and getting started
Lecture 1: Installing PostgreSQL and pgAdmin in your PC
Lecture 2: If pgAdmin is not opening…
Chapter 15: Database Basics
Lecture 1: What is SQL
Lecture 2: Tables and DBMS
Lecture 3: Types of SQL commands
Lecture 4: PostgreSQL
Chapter 16: Fundamental SQL statements
Lecture 1: CREATE
Lecture 2: Exercise 1: Create DB and Table
Lecture 3: Solutions to all Exercises
Lecture 4: INSERT
Lecture 5: PRIMARY KEY FOREIGN KEY
Lecture 6: Import data from File
Lecture 7: Exercise 2 Inserting and Importing data
Lecture 8: SELECT statement
Lecture 9: SELECT DISTINCT
Lecture 10: WHERE
Lecture 11: Logical Operators
Instructors
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Start-Tech Academy
5,000,000+ Enrollments | 4.5 Rated | 160+ Countries
Rating Distribution
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- 2 stars: 87 votes
- 3 stars: 542 votes
- 4 stars: 1919 votes
- 5 stars: 2855 votes
Frequently Asked Questions
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