The Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python is an all-inclusive course designed to help participants gain mastery in three of the most important tools for data analysis. The course covers everything from basic spreadsheet functions to advanced SQL queries and Python programming.
Participants will learn how to use Excel for data cleaning and analysis, SQL for database querying and management, and Python for data manipulation and modeling. They will also learn how to integrate these tools to create comprehensive data analysis workflows.
With this comprehensive training, participants will be equipped with the skills and knowledge necessary to succeed as a data analyst in any industry. By the end of the course, participants will have the confidence to tackle complex data analysis tasks and become a true data analysis hero.
Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python Description
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
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.