Data Analytics Intensive Bootcamp

Become a Data Expert with Hands-On Training and Certification.

Skills you'll earn

Python
Spreadsheets
SQL
Analytics Workflow
Exploratory Data Analysis
Communication, Dashboards, and Reports

Starting 23rd of September

Enroll Now

From Beginner to Python Developer in just 3 Months A 12-week journey with exclusive small classes, 21 students max. 360 total hours, 5 days a week, 6 hours each day.

Beginner

Intensive Bootcamp

360 hours

KHDA-Licensed

Flexible payment

Recommended age 16+

12 Weeks Course

5 Times a Week

6 Hours a Day

Price: 28,000 AED

Mina Eskander

Python Fundamentals Master

My name is Mina, and I am deeply passionate about software development and programming languages.

I have acquired proficiency in numerous programming and database languages, and I thrive in working with computers. I have successfully completed multiple projects using Python and the Django framework.

Technologies you will learn

Python

Its simplicity, versatility, and powerful libraries make it perfect for beginners and experts alike.

Data Analytics

Unlock valuable insights, make informed decisions, and drive success.

SQL & NoSQl Databases

Master the essential skills for managing and querying both SQL and NoSQL databases, optimizing performance, and handling complex data needs.

What you will learn

You will learn to use Python in Jupyter Notebooks to create and document an analytics workflow. You will learn to read, clean, process, explore, and visualize data using the most prevalent libraries for data analysis.
Spreadsheets are the number one tool used by businesses to gain insights from their data. You will learn to transform data; use logic, conditionals, and formulas to create new data values; and generate statistical information. You will get practice building charts and working with add-ins like power pivot.
You will get practice querying, joining, and aggregating data with SQL. You will learn about the differences between relational databases, NoSQL databases, and dimensional models, along with some of the common challenges that businesses face when storing and using data in a SQL database.
You will study the stages of the analytics workflow, including getting data, using Extract-Transform-Load (ETL) processes to store data for optimum use, analyzing data, and creating reports and dashboards. You will get practice with the tasks at each stage to understand how they work together in support of delivering actionable insights.
Understanding your data well is a prerequisite to using it effectively. You will learn and practice exploratory techniques to understand and describe your data, including generating plots and summaries.
You will learn to communicate your findings via presentation and storytelling, building reports, and creating dashboards. You will learn to evaluate findings for their business value and to target your audience with empathy (understanding what they want). Data visualization tools include Tableau and Power BI.