Data Analytics Beginner Class
Master Power BI and SQL to Launch Your Data Analytics Career in Just 8 Weeks.
Transform Complex Data into Clear Insights and Kickstart Your Career in Data Analytics
JUST ₦100K NOW - PRICE GOING UP SOON!
Say Goodbye to the Office Grind – Embrace the Remote Lifestyle
No Tech Experience? No Problem! Become a DevOps Engineer 10 weeks
- Feeling Stuck in a Dead-End Job?
- Dreaming of Flexibility and Remote Work?
- Struggling to Break into the Tech Industry?
- Craving a Future-Proof Career Path?
If this sounds like you, don't worry - We created this to help you fix all that.
Say Goodbye to the Office Grind – Embrace the Remote Lifestyle
No Tech Experience? No Problem! Become a Data Analytics Pro in 8 Weeks
- Feeling Stuck in a Dead-End Job?
- Struggling to Break into the Tech Industry?
- Dreaming of working for UK, USA and CANADA companies Remotely?
- Craving a Future-Proof Career Path?
- Planning to japa with in-demand tech skills
If this sounds like you, don't worry - We created this to help you fix all that.
Get Ready to Master Data Analytics in Just 8 Weeks
What you'll learn inside
- Data visualization, DAX formulas, data modeling
- Database querying, data manipulation, report generation
- Real-world applications: Business intelligence, financial analysis, marketing insights
Why Choose Data Analytics Beginner Class?
- 22% job growth by 2030
- $120,000 to $200,000+ salaries
- Work from home
- High demand with excellent pay globaly
- Job security and satisfaction
Why Choose Our Course?
- Focused Curriculum: 5 weeks of Power BI + 3 weeks of SQL
- Hands-On Learning: Work on practical, real-world projects
- Expert Instruction: Learn from industry professionals
- Real-world scenarios and applications
- Flexible, self-paced structure
- Dedicated support and mentorship
- Career-Ready Skills: Earn a certificate to boost your resume
- Career guidance and job placement
- Affordable pricing with high ROI
- Access to our in-house AI companion to help you become an expert
- Meet Empolyers on our job portal
WHEN YOU REGISTER FOR Data Analytics Beginner Class, YOU WILL LEARN
Week 1: Introduction and Data Importation
- Introduction to Power BI
- Overview of the Power BI interface
- Understanding Power BI Desktop vs. Power BI Service
- Importing data from different sources (Excel, CSV, databases, web, etc.)
- Hands-on practice: Importing data from various sources
- Introduction to Power Query Editor
- Basic data exploration and navigation in Power Query
Week 2: Data Cleaning and Transformation
- Data cleaning basics: Removing duplicates, handling missing values, filtering rows
- Transforming data: Splitting columns, merging, and formatting data
- Using conditional columns and custom columns
- Advanced transformations: Pivoting, unpivoting, and grouping data
- Creating calculated columns
- Practical exercises in data transformation
Week 3: Data Modeling
- Introduction to data modeling concepts
- Understanding schemas: Star schema vs. Snowflake schema
- Defining relationships and cardinality in Power BI
- Best practices for data modeling
- Creating and managing relationships between tables
- Hands-on data modeling session: Building a simple data model
Week 4: Data Visualization and Storytelling
- Introduction to data visualization principles
- Creating basic visualizations: Bar charts, line charts, pie charts
- Formatting visualizations and adding basic interactivity
- Advanced visualizations: Maps, scatter plots, and custom visuals
- Introduction to storytelling with data
- Crafting a narrative: Combining visualizations to tell a story
Week 5: Visualization Best Practices and DAX Measures
- Do’s and don’ts of data visualization
- Working with colors and themes
- Designing dashboards: Layout and user experience considerations
- Introduction to DAX (Data Analysis Expressions)
- Creating basic DAX measures: SUM, COUNT, AVERAGE
- Understanding DAX contexts: Row context vs. Filter context
Week 6: Introduction to SQL and Basic Queries
- Introduction to SQL
- Understanding databases and tables
- Writing basic SELECT queries
- Filtering and sorting data using WHERE, ORDER BY, and LIMIT clauses
- Introduction to data types and operators
- Using functions and expressions in SELECT statements
- Practical exercises: Writing and executing basic queries
Week 9: Final Project and Course Review
- Final project introduction
- Guidelines and expectations for the project
- Work on the project: Applying Power BI and SQL skills
- Project presentations and feedback
- Course review and key takeaways
- Q&A session and final thoughts
What others are saying
- Sophia L., Data Analyst
“I joined the Data Analytics Bootcamp at Qurate HQ with zero experience, and within a few months, I was analyzing datasets and creating reports with confidence. The course is well-structured, and the real-life projects helped me understand how data analytics can drive business decisions. I recently secured a job as a Data Analyst, and it’s all thanks to the skills I gained at Qurate HQ!”
- David K., Business Intelligence Analyst
“The Data Analytics class at Qurate HQ exceeded my expectations. The blend of theory and practical application made the learning process engaging and effective. The instructors were incredibly knowledgeable, and the support from the Qurate community was invaluable. I now have a deep understanding of data visualization, statistical analysis, and SQL, which has already opened new doors in my career.”
🗓️ Weekly Schedule:
- Course Duration: 2 Months (8 Weeks)
- Class Schedule: Saturday- 4pm to 6pm, Sunday- 4pm to 6pm
- Duration: 2 hrs.
- Onboarding Session: September 25th
- Classes Begin: October 2nd
- Software: Power BI and SQL
📞 Need Help with Registration?!
Frequently Asked Questions
This course is ideal for beginners with no prior experience in data analytics, as well as professionals looking to upgrade their skills in Power BI and SQL.
You’ll need a computer with internet access. We’ll provide instructions for downloading free versions of Power BI and SQL tools before the course begins.
ll sessions are recorded and made available to students, so you can catch up if you miss a class.
Yes, we offer resume workshops and job search guidance to help you leverage your new skills in the job market.
We recommend setting aside 5-10 hours per week for assignments and practice.