Data Analytics
Course

This course will equip students with the necessary skills and knowledge to analyze large datasets and make informed decisions using data-driven insights.

Enrollment

Pre-register yourself for the next cohort

Program Duration

5 months

Learning Format

Online

What You Will Learn

  • Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job
  • Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)
  • Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming
  • Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms



Course Syllabus

Certification

Earn a career certificate

Include this achievement on your LinkedIn profile, resume, or CV as a testament to your professional growth and development.

Program Offerings

Practical Skills

You will learn practical skills in emerging careers that make you more valuable and appealing to employers

Projects

You will acquire the knowledge to create portfolio-worthy projects showcasing your skills

Mentorship

Experts working in the industry will mentor you in becoming successful professionals with leadership skills

Module 7

Clean Data, Assignment Prep

Module 8

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

Adding Data to Resume + Course Challenge

Module 10

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

Aggregating Data for Analysis, Performing Data Calculations

Module 12

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

Programming and Data Analytics, Programming using R Studio

Module 15

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

Documentation and Reports, Learn About Capstone Basics

Module 17

Building Your Portfolio + Using Your Portfolioo

Module 18

Putting Your Certificate to Work

Module 19

Introduction to Probability and Data with R

Module 20

Inferential Statistics

Module 21

Linear Regression and Modelling

Module 22

Bayesian Statistics

Module 23

Statistics with R Capstone (Final Project)

Module 24

Job - Interview Mocking and Training

Module 7

Clean Data, Assignment Prep

Module 8

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

Adding Data to Resume + Course Challenge

Module 10

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

Aggregating Data for Analysis, Performing Data Calculations

Module 12

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

Programming and Data Analytics, Programming using R Studio

Module 15

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

Documentation and Reports, Learn About Capstone Basics

Module 17

Building Your Portfolio + Using Your Portfolioo

Module 18

Putting Your Certificate to Work

Module 19

Introduction to Probability and Data with R

Module 20

Inferential Statistics

Module 21

Linear Regression and Modelling

Module 22

Bayesian Statistics

Module 23

Statistics with R Capstone (Final Project)

Module 24

Job - Interview Mocking and Training

Module 7

Clean Data, Assignment Prep

Module 8

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

Adding Data to Resume + Course Challenge

Module 10

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

Aggregating Data for Analysis, Performing Data Calculations

Module 12

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

Programming and Data Analytics, Programming using R Studio

Module 15

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

Documentation and Reports, Learn About Capstone Basics

Module 17

Building Your Portfolio + Using Your Portfolioo

Module 18

Putting Your Certificate to Work

Module 19

Introduction to Probability and Data with R

Module 20

Inferential Statistics

Module 21

Linear Regression and Modelling

Module 22

Bayesian Statistics

Module 23

Statistics with R Capstone (Final Project)

Module 24

Job - Interview Mocking and Training



Frequently Asked Questions

The monthly fee for the courses is Rs 2000 and the registration fee is Rs 500 (it is non-refundable)
Yes, you will receive an international certificate after completing the course.
The eligibility criteria for the courses are age 22-35, unemployed, graduate, available for a full-time job after completion, basic English comprehension, preferably tech background, and computer skills.

Instructors

Umair Rafique

Umair Rafique is the Lead Data Scientist at Marketlytics, a leading Digital Analytics consultancy in Karachi. He has been leading Data Science projects at Marketlytics for over 3 years, during which he has worked for multiple clients from Fortune 100.

His expertise lies in Statistical Analysis, Modelling, Machine Learning and Recommender Systems. Apart from that, he has been training aspiring Data Scientists in Statistical Inference and Regression Modelling with KarachiAI for the last 3 years.

Muhammad Hamza

Hamza is presently working as a Lead Data Scientist at Motive. With over 5 years of experience in the Data Science Industry, with past roles of Data Scientist at Daraz and Machine Learning Engineer at Gaditek. He has designed and deployed different data driven solutions including recommendations and predictive churn models in past.

He has teaching experience of over 2 years where he has taught courses related to Data Analytics, Data Engineering and Data Science.

Alumni Success

Muhammad Tayyab

Cohort 2

Hired as a Data Science Intern at

Faran Ahmad

Cohort 2

Hired as a Salesforce Data Quality Analyst at