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"This course helped us get our foot on the ground in less than a year! We wouldn't have been able to do it without Data Analysis with MS Power BI"
- Gloria O.
"I have learned MORE in the past 2 weeks from watching this program than I have in the past 18 months watching disorganized youtube videos!"
- Johnson O.
"This training breaks everything down in a simple and easy to follow process for both my smartphone and computer system. Definitely worth it!"
- Adeyemi F.
You Need Any One this Data Analysis Course
Week 1 | Introduction
- In this module we’ll set the ball rolling by explaining what this course is all about and what we will cover in Data Analyst course.
Week 2 - Week 4 | Excel Training
- Navigating through a worksheet Data formats in Excel Fill, copy, insert, move, and delete data Range, Relative and Absolute Addressing Data cleaning and preparation with text functions like Substitute, Mid, Concatenate, Trim, Proper, Lower, Upper, Left and Right functions Find and Replace texts Removing duplicates from data Split data with text-to-columns in Excel Sorting and Filtering data Aggregation Functions: SUM, COUNT, AVERAGE, MAX, MIN, STDEV, and MEDIAN Logical Functions and Comparison Operators
- Pivot Tables in Excel, Formulas in Excel, XLOOKUP in Excel, Conditional Formatting in Excel, Charts in Excel, Cleaning Data in Excel,
- This section put together all we have learn and try to show us in the real world experience, what to do and how to do it. This is important for all students
Week 5 - Week 8 | Structure Query Language
- Introduction to SQL Why SQL? Advantages of SQL over Microsoft Excel Data Types Entity Relationship Diagram Fundamentals of Data Definition Language (CREATE, ALTER, DROP, TRUNCATE) Data Manipulation Languages (SELECT, INSERT, UPDATE, DELETE) Performing Basic Queries (SELECT and FROM, DISTINCT, WHERE, GROUP BY, ORDER BY, LIMIT)
- Inner/Outer Joins | Use Cases Unions | Union Operator Case Statement | Use Cases Having Clause Updating/Deleting Data Aliasing Partition By
- CTE (Common Table Expression) Temp Tables String Functions + Use Cases Stored Procedures + Use Cases Subqueries
- SQL Data Exploration Data Cleaning in SQL
Week 9 - Week 10 | Microsoft Power BI
- How to Install Power BI | Building First Visualization How to use Power Query in Power BI How to Create and Manage Relationships in Power BI How to use DAX in Power BI How to use Drill Down in Power BI How to use Conditional Formatting in Power BI How to use Bins and Lists in Power BI
- Visual Elements Overview Creating Basic Visuals – Line Chart – Bar Chart – Stacked Chart – Pie Chart – Donut Chart – Waterfall Chart – Matrix Table – Chart Formatting Techniques – Enhancing visuals with formatting options – Customizing colors, labels, and axes Using Filters Pane and Slicers Implementing drill-downs for interactivity Building a complete end-to-end solution (Report/ Dashboarding) Case studies and industry-specific application
Week 11 | Full Power BI Guided Project
- This session will try to check all that we have study and show us in a pratical veiw how to put them to use in a real world experience.
Week 12 | Conclusion
- How to Create a Portfolio Website** Create the Perfect Data Analyst Resume Top Tips on Using LinkedIn to Land a Job Get Your Data Analyst Certification of Participation
Week 1 | Introduction
- In this module we’ll set the ball rolling by explaining what this course is all about and what we will cover in Data Analyst course.
Week 2 - Week 4 | Excel Training
- Navigating through a worksheet Data formats in Excel Fill, copy, insert, move, and delete data Range, Relative and Absolute Addressing Data cleaning and preparation with text functions like Substitute, Mid, Concatenate, Trim, Proper, Lower, Upper, Left and Right functions Find and Replace texts Removing duplicates from data Split data with text-to-columns in Excel Sorting and Filtering data Aggregation Functions: SUM, COUNT, AVERAGE, MAX, MIN, STDEV, and MEDIAN Logical Functions and Comparison Operators
- Pivot Tables in Excel, Formulas in Excel, XLOOKUP in Excel, Conditional Formatting in Excel, Charts in Excel, Cleaning Data in Excel,
- This section put together all we have learn and try to show us in the real world experience, what to do and how to do it. This is important for all students
Week 5 - Week 8 | Structure Query Language
- Introduction to SQL Why SQL? Advantages of SQL over Microsoft Excel Data Types Entity Relationship Diagram Fundamentals of Data Definition Language (CREATE, ALTER, DROP, TRUNCATE) Data Manipulation Languages (SELECT, INSERT, UPDATE, DELETE) Performing Basic Queries (SELECT and FROM, DISTINCT, WHERE, GROUP BY, ORDER BY, LIMIT)
- Inner/Outer Joins | Use Cases Unions | Union Operator Case Statement | Use Cases Having Clause Updating/Deleting Data Aliasing Partition By
- CTE (Common Table Expression) Temp Tables String Functions + Use Cases Stored Procedures + Use Cases Subqueries
- SQL Data Exploration Data Cleaning in SQL
Week 9 - Week 10 | Tableau
- How to Install Tableau Create First Visualization How to use Calculated Fields and Bins in Tableau How to use Joins in Tableau
- Visual Elements Overview Creating Basic Visuals – Line Chart – Bar Chart – Stacked Chart – Pie Chart – Donut Chart – Waterfall Chart – Matrix Table – Chart Formatting Techniques – Enhancing visuals with formatting options – Customizing colors, labels, and axes Using Filters Pane and Slicers Implementing drill-downs for interactivity Building a complete end-to-end solution (Report/ Dashboarding) Case studies and industry-specific application
Week 11 | Full Beginner Project in Tableau
- This session will try to check all that we have study and show us in a pratical veiw how to put them to use in a real world experience.
Week 12 | Conclusion
- How to Create a Portfolio Website** Create the Perfect Data Analyst Resume Top Tips on Using LinkedIn to Land a Job Get Your Data Analyst Certification of Participation
Week 1 | Introduction
- In this module we’ll set the ball rolling by explaining what this course is all about and what we will cover in Data Analyst course.
Week 2 - Week 4 | Excel Training
- Installing Jupyter Notebooks/Anaconda, Variables in Python, Data Types in Python Comparison, Logical, and Membership Operators in Python, If Else Statements in Python, For Loops in Python, While Loops in Python, Functions in Python, Converting Data Types in Python
- Building a BMI Calculator with Python
- Building an Automated File Sorter in File Explorer using Python
Week 5 - Week 8 | More detail function in Python
- Inspecting Web Pages with HTML, BeautifulSoup + Requests, Find and Find_All, Scraping Data from a Real Website
- Reading in Files in Pandas, Filtering Columns and Rows in Pandas, Indexes in Pandas, Group By and Aggregate Functions in Pandas, Merging DataFrames in Pandas, Creating Visualizations using Pandas Library, Data Cleaning in Pandas, Exploratory Data Analysis in Pandas
Week 9 - Week 10 | Data Analyst Portfolio Project
- Amazon Web Scraping Using Python
- Automating Crypto Website API Pull Using Python
Week 11 - Week 12 | Conclusion
- How to Create a Portfolio Website** Create the Perfect Data Analyst Resume Top Tips on Using LinkedIn to Land a Job Get Your Data Analyst Certification of Participation
What's Included Inside Our Data Analysis Course?
132+ Video Trainings
Covering everything you need to know about Data Analysis it also include project and practical work.
Every weekend we go LIVE in our private online community to answer YOUR questions and show you over-the-shoulder how to create some simple addon in your application.
Meet Your Instructor
My name is Adeleke Samuel A seasoned programmer with over a decade of hands-on experience in the field of software development.
With a passion for code and a commitment to excellence, Adeleke has honed expertise in a wide range of programming languages, technologies, and domains.
Adeleke's dedication to programming excellence, coupled with a commitment to continuous learning, has not only enriched their own skill set but has also contributed to the growth and development of aspiring programmers through training and mentorship.
Adeleke's deep industry knowledge and practical experience make them a valuable asset in the world of software development.
But I get it, you probably don't really care about who I am and why I created this platform...
Right now, all you care about is CAN I ACTUALLY HELP YOU!
Since launching Data Analysis course in 2023, over 2,000 people have enrolled in the program and the feedback is in...
People are blown away at how fast they can learn how to code when they follow a proven step-by-step process.
I hope you're as excited as I am for you to begin this journey!
I host a weekly Q&A call every single week in our private community, I hope to meet you soon!
Who This Course Is For
- This an amazing time to break free from corporate employment and start an online business that provides a sense of FREEDOM! Our Data Analysis course is what you need.
- You value SPEED! The primary goal of this course is to teach you FASTER than any other resource on planet earth. We will pack 2 years of learning into the next 12 Weeks
- People who are ready to start appliying, but are struggling to get a project done
What Categories Do We Focus On?
- Aspiring Freelance Developer
- Online entrepreneurs and coaches looking to scale with better content
- And so much more!
Who This Course Is NOT For
- You are the type of person that likes to join courses & groups and make others feel bad for now knowing as much as you do... We don't tolerate condescending personalities!
- You do not care about SPEED! This program was created for people that want to develop this incredibly valuable skillset in the fastest timeframe possible. There are better programs out there for those of you who have an infinite amount of time and no real need to learn quickly.
Frequently Asked Questions
Data Analysis with Microsoft Power BI
What skill level is this program for?
This program caters to individuals with varying levels of experience in data analysis and visualization, from beginners to intermediate users seeking to enhance their skills using Microsoft Power BI.
How long do I have access to the program, and when does it start?
Upon enrollment, you'll have immediate access to all course materials. The program is self-paced, allowing you to progress through the content at your own speed and revisit materials as needed. There are no set start or end dates, so you can begin whenever it's convenient for you.
Can I access Power BI Desktop for free, or do I need to purchase a subscription?
Power BI Desktop is available as a free download from the Microsoft website. You can use Power BI Desktop to complete the exercises and projects in the course without needing to purchase a subscription. However, a Power BI Pro subscription may be required if you plan to collaborate and share reports with others.
Do I need prior experience with Microsoft Excel to enroll in this program?
While prior experience with Excel can be helpful, it's not required. This program covers the fundamentals of data analysis and visualization using Power BI, and the skills learned are transferable to other similar tools. However, familiarity with basic data manipulation and analysis concepts would be beneficial
Data Analysis with Tableau A-Z
What skill level is this program for?
This program is designed for individuals of all skill levels, from beginners with no prior experience with Tableau to experienced users looking to deepen their knowledge and skills in data visualization and analysis.
How long do I have access to the program, and when does it start?
Upon enrollment, you'll receive lifetime access to all course materials, including video tutorials, practice exercises, and downloadable resources. The program is self-paced, allowing you to start whenever you're ready and progress through the content at your own speed.
Can I use Tableau Public instead of Tableau Desktop for this course?
While Tableau Public is a free version of Tableau, it has certain limitations compared to Tableau Desktop. We recommend using Tableau Desktop for the best learning experience, as it provides access to additional features and functionalities that are covered in the course.
Is Tableau software included in the course fee, or do I need to purchase it separately?
Tableau software is not included in the course fee. However, Tableau offers a free trial version of Tableau Desktop that you can download and use for the duration of the course. Alternatively, you can opt for a Tableau Desktop subscription or license if you plan to continue using the software beyond the trial period.
Data Analysis with Python
What skill level is this program for?
This program is suitable for individuals with varying levels of Python proficiency, from beginners with no prior experience to intermediate users looking to enhance their data analysis skills using Python.
How long do I have access to the program, and when does it start?
Upon enrollment, you'll have immediate access to all course materials. The program is self-paced, allowing you to progress through the content at your own speed and revisit materials as needed. There are no set start or end dates, so you can begin whenever it's convenient for you.
Can I apply the skills learned in this program to real-world data analysis projects?
Yes, absolutely! Throughout the program, you'll work on hands-on projects and exercises designed to simulate real-world data analysis scenarios. By applying the concepts and techniques learned in the course to practical examples, you'll gain valuable experience that can be directly applied to your own data analysis projects.
Do I need prior programming experience to enroll in this program?
While prior programming experience can be helpful, it's not required. This program covers the fundamentals of Python programming specifically tailored for data analysis, making it accessible to beginners. However, familiarity with basic programming concepts would be beneficial.
Is there a guarantee?
Absolutely! Our Data Analysis courses has a 7-Day Satisfaction Guarantee. If you are not completely SATISFIED and ENLIGHTENED by the Novice to Pro Program, then contact us within 7 Days for a full refund, no questions asked!
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