Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python Course. Begin data analytics by learning Excel, SQL, Python, Analytics & ML concepts from scratch. Must-know for a data analyst
Data Analyst Skillpath Course Content Overview
Udemy Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python Course
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
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!
What you’ll 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
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Course Information
- Instructor: Start-Tech Academy
- Duration: 22 hours 50 Minutes
- Language: English, Portuguese [Auto], Simplified Chinese [Auto]
- Source: Udemy
Courses Reviews
Start-Tech Academy
Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.
Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey.
Founded by Abhishek Bansal and Pukhraj Parikh.
Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.
Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.