SKYTech

Data Sciencs

Data Sciencs

Data Science, is an emerging field that blends statistical analysis, computer science, and domain expertise to extract meaningful insights from large datasets. It is used across industries like healthcare, finance, marketing, and technology to drive decision-making and strategic planning.
A Data Science course trains individuals in understanding data, performing deep analysis, and making predictions using advanced tools and techniques. It typically covers key concepts such as Python programming, data visualization, statistical analysis, data preprocessing, and predictive modeling.
Overall, a Data Science course is a vital investment for anyone aiming to build a strong career in analytics, machine learning, or AI. Mastering these skills makes you highly valuable in today’s data-driven job market. You will learn all these exciting concepts in our Data Science One O One course.

Course Outline

  • Module 1: Introduction to Data Science: What, How, and Why
  • Module 2: Python Fundamentals: Syntax, Data Types, and Control Structures
  • Module 3: Introduction to Descriptive and Inferential Statistics
  • Module 4: Probability Distributions and Hypothesis Testing  
  • Module 5: Understanding Data Cleaning and Preprocessing
  • Module 6: Identifying Patterns, Trends, and Anomalies in Data
  • Module 7: Tools for Visualization: Matplotlib, Seaborn, Plotly
  • Module 8: Real-world Case Studies and Mini Projects

Course Description

  • Duration: 4 Months

  • Total Duration: 144 Hours
  •  
  • For Boys: Mon/Wed/Sun

  • For Girls: Tue/Thu/Sat

  • Course Level: Beginner to Intermediate

  • Classes Offered: Morning, Afternoon, Weekend

  • Practical: 96 Hours

  • Theory: 48 Hours

  • Daily Class Timings: 3 Hours

Data Sciencs Certification

SKY Tech IT Institute

Methodology

  • Theory: 25%
  • Practical: 75%

  • Institute Based Training: 5 Months (Including Career Development Support)

Requirements for Admission

  • Requirements for Admission
  • Valid CNIC/B-Form
  • Minimum Qualification: Intermediate (Pre-Medical/Pre-Engineering/Commerce/ICS preferred)

  • Age Limit: No Limit