Data Science
This comprehensive program offers an in-depth exploration of data science, covering data acquisition, analysis, visualization, and predictive modeling
- 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
This comprehensive program delves into the world of data science, covering data acquisition, cleaning, analysis, machine learning, and advanced topics like big data and deep learning. It equips participants with the skills to extract insights from data, perform statistical analysis, and create compelling data visualizations, making data-driven decisions accessible to a broad audience.
Requirements
- Intermediate/O/A-level
Modules
Introduction to Data Science
Explore the fundamentals of data science, its applications, and its role in decision-making.
Data Acquisition and Cleaning
Learn techniques to gather, clean, and preprocess data for analysis.
Exploratory Data Analysis (EDA)
Dive into EDA techniques to uncover patterns, relationships, and outliers in data.
Statistical Analysis
Understand key statistical concepts and their application in data analysis.
Machine Learning Fundamentals
Discover the basics of machine learning, including classification and regression.
Data Visualization
Master data visualization tools and techniques to communicate insights effectively.
Big Data and Advanced Topics
Explore big data technologies and advanced topics such as natural language processing and deep learning.
Audience
Students
Students pursuing degrees in data science, computer science, or related fields seeking practical skills and real-world applications.
Data Scientists
Individuals looking to kickstart a career in data science, gaining a strong foundation in the field's core concepts and practical skills.
Analysts
Business analysts, financial analysts, and professionals working with data who want to enhance their analytical capabilities and move towards data-driven decision-making.
Learning Outcomes
Foundational Understanding
Develop a strong understanding of the fundamental concepts and applications of data science, enabling you to appreciate its value in various domains.
Data Handling Proficiency
Acquire practical skills in data acquisition, cleaning, and preprocessing, ensuring you can work with diverse datasets effectively.
Exploratory Data Analysis (EDA)
Master techniques to explore and visualize data, uncovering patterns, trends, and outliers to inform decision-making.
Statistical Analysis
Understand and apply statistical methods to make data-driven decisions and draw meaningful insights from data.
Machine Learning Competence
Gain proficiency in machine learning fundamentals, enabling you to build predictive models and classify data for various applications.
Data Visualization Skills
Create compelling data visualizations that effectively communicate findings and insights to both technical and non-technical stakeholders.
Advanced Topics Exploration
Familiarize yourself with big data technologies and delve into advanced data science domains like natural language processing and deep learning.
Admission Form
Please fill out the form below. A representative from our academic counseling team will soon reach out to assist you.
