Data Analytics Bootcamp

This 3 Months long Data Analytics Bootcamp is a practical, career-focused program designed for aspiring data analysts, professionals, and career switchers seeking hands-on experience in data analysis, data visualization, business intelligence, and data-driven decision-making.

Through applied projects and real-world case studies, learners will gain the ability to collect, clean, analyze, interpret, and present data effectively using Excel, Power BI, MySQL, Python and Machine Learning. The program focuses on building practical analytical expertise to identify trends, solve business problems, create meaningful reports, and support strategic decision-making.

By the end of the bootcamp, participants will be able to store, clean, interpret, and analyze data to generate actionable insights for better decision-making. The program not only teaches essential analytics tools but also builds the practical mindset to use data effectively for organizational growth.

Start your journey to a global career in Data Analytics! Gain hands-on skills and become an industry-ready professional

03 Months

Saturday, Sunday

02:00 - 04:00 PM PKT

04 July, 2026

Online & Interactive

English

What You’ll Learn

Module 1: Data Analytics Fundamentals

Understanding the concept of analytics
Significance and relevance of analytics in decision-making
Diverse categories of analytics: Descriptive, Predictive, and Prescriptive
The role of data visualization in analytics
Understand data warehousing, data lakes, and data marts.
BigData Analytics Fundamentals
Data Analytics with ChatGPT & Prompt Engineering

Module 2: Data Analytics with Microsoft Excel

Fundamentals of data representation using Microsoft Excel
Learn to collect, manage, and store company data effectively
Data preparation and cleaning techniques
Formulas, functions, and their application in data analysis
Exploring the power of Pivot Tables for data summarization
Creating dynamic visuals with Pivot Charts
Leveraging advanced Excel features for effective analytics

Module 3: Microsoft Power BI & Forecasting

Understanding the role of Power BI in data visualization
Exploring Power BI’s user interface and functionalities
Identifying Key Performance Indicators (KPIs) for business insights
Utilizing DAX functions for complex calculations and modeling
Advanced techniques for data transformation using Power Query
Creating interactive dashboards and reports with Power BI
Forecast future trends and patterns using Power BI
Integrating geographical data through mapping techniques
Crafting convincing data-driven stories to engage stakeholders

Module 4: SQL & DataWarehousing

Database Management System OverView
Database Structure and SQL Select statements
Filtering Data in SQL Joins and subqueries in SQL
Data definition language (DDL)
Sorting data & Functions in SQL
Connecting database to Power BI
Understanding Data warehousing

Module 5: Python for Data Analytics

Intro to Python
Variables, Data Types & Type Conversion in Python
Numbers & Strings in Python
Working with Lists in Python
Conditionals & Loops in Python
Functions & Built in Functions in Python
NumPy in Python
Dictionaries in Python
Pandas Library in Python
Manipulating Data Frames
Data Visualization in Python (Matplotlib & Seaborn)
Data Wrangling
Data pre-processing and scaling
Feature Extraction
Descriptive statistics for Data Analysis

Module 6: Time Series Analytics

An introduction to time-series and stationary data
Key concepts that include filters, signal transformations, and anomalies
Spot trends, seasonality and secrets hidden in your data
How to handle and visualize time series data
Learn tricks to forecast what’s next.
The application of time series forecasting with Python

Module 7: Machine Learning & Predictive Modelling

Splitting the dataset as per the model requirement
K-fold methods
K-nearest neighbors Naive Bayes
Linear Regression
Multivariable Regression
Logistic Regression
Decision Tree
Support Vector Machine
Model evaluation techniques

Module 8: Profile Building & Mentoring

Career Prospects in Sales, marketing, Supply Chain, Finance, HR Analytics and much more
Business case studies & capstone projects in each module
Special guest sessions from Industry leaders from Amazon, Microsoft, Nike, Jazz and more.
Cracking interviews with skills & tricks

Tools you will learn

Meet your Instructor

Rabbiyah is a globally experienced Business Data Analyst, currently serving in the Business Strategy & Development department at Engro Corp. She empowers organizations with data-driven insights and innovative solutions. With a strong track record in multinational companies, she has driven transformations through analytical techniques such as customer analysis, churn analysis, and product-level analysis.

Rabbiyah has trained over 100 professionals from top organizations like GSK, HBL, PSO, Nokia, Etisalat, UNDP, and Citi Bank, helping them acquire future-ready skills. Known for her interactive and hands-on teaching style, she delivers industry-relevant training that ensures practical and impactful learning

Who This Program is For?

Executives

Leaders who want to master data insights to drive smarter business decisions

Professionals

Those looking to level up their career with impactful data skills

Students

who want to get trained practically in Data Analytics with a complete industry-oriented approach

Data Enthusiasts

Individuals across industries like Supply Chain, Finance, Oil & Gas, Healthcare, and Sales who want to use data analytics to solve real-world challenges