Data Analytics
This Data Analytics Program is designed to equip students with fundamental data analysis skills and tools.
- Duration: 3 Months
- Enrollment Fee: PKR.40,000
- Fee Installment Plan: Available
Admission Form
Fill in the form below and we will contact you as soon as possible.
Introduction
Data Analytics course provides a comprehensive introduction to essential data analysis techniques and tools. It covers data collection, cleaning, visualization, and basic statistical analysis, empowering students to extract valuable insights from diverse datasets. Through hands-on practice and a final project, participants gain practical skills in data analysis and visualization. This course is suitable for those looking to kickstart their journey into the world of data analytics.
Requirements
- Intermediate/O/A-level
Modules
Introduction to Data Analytics
An overview of data analytics and its significance in decision-making.
Data Collection and Preparation
Techniques for collecting, cleaning, and preparing data for analysis
Exploratory Data Analysis (EDA)
Methods to visually and statistically explore datasets.
Basic Statistical Analysis
Introduction to statistical concepts and hypothesis testing.
Data Analysis with Software Tools
Hands-on practice using data analysis software.
Data Visualization
Creating informative visualizations to communicate data insights.
Audience
Aspiring Data Analysts
ndividuals interested in pursuing a career in data analysis or related fields.
Business Professionals
Professionals seeking to enhance their data analysis skills to make data-driven decisions in their organizations.
Students in Data-Related Disciplines
Undergraduate or postgraduate students studying data science, statistics, business analytics, or related subjects
Entrepreneurs and Small Business Owners
Individuals running businesses who want to use data analytics to gain insights and improve operations.
Professionals in Non-Technical Roles
Individuals in marketing, finance, HR, or other non-technical roles looking to leverage data for better decision-making.
IT and Software Professionals
: IT and software engineers interested in expanding their skill set to include data analytics.
Learning Outcomes
Data Understanding
Understand the fundamentals of data analytics, its applications, and its role in decision-making.
Data Collection and Preparation
Collect, clean, and preprocess data effectively for analysis.
Exploratory Data Analysis (EDA)
Apply techniques to explore and visualize data to uncover patterns and insights.
Statistical Proficiency
Use basic statistical concepts and hypothesis testing for data-driven decision-making.
Data Analysis Tools
Demonstrate proficiency in using data analysis software and tools for practical data manipulation and visualization.
Admission Form
Please fill out the form below. A representative from our academic counseling team will soon reach out to assist you.
