Classes on Weekend
Instructor : Sardar Ikram Ullah Khan
Offered Course
Upon completing this course, participants will be able to perform comprehensive data analysis, uncover hidden patterns, predict trends, and make data-driven decisions. Additionally, they will learn about data security and ethical considerations in data handling, ensuring responsible and efficient use of information.
Course Duration
8 weeks
Classes
4 hours per session Saturday/Sunday
Work Shop Take Away
Slides, Online Resource, Book , certificates
Mode of class
Both online and On campus at the same time.
Fee
—
Learning Objectives
LO1 – Gain insights into the fundamental concepts of Big Data and Analytics
LO2 – Understand the architecture and functioning of Big Data platforms
LO3 – Explore various data models and their application in analytics
LO4 – Develop skills in data mining and predictive analytics techniques
LO5 – Master the use of analytical tools for processing large datasets
LO6 – Perform real-time data analysis using contemporary software
LO7 – Design and implement effective data visualization strategies
LO8 – Analyze ethical and privacy concerns in Big Data analytics
LO9 – Learn to make data-driven decisions for business growth and efficiency
LO10 – Develop expertise in handling and analyzing unstructured data
Course Contents
• Introduction to the World of Big Data Analytics
• The Role and Skills of a Data Analyst in the Modern Data Ecosystem
• Understanding and Utilizing Big Data Platforms and Data Repositories
• Data Collection Techniques and Strategies
• Data Wrangling: Techniques for Preparing Data for Analysis
• Data Mining: Uncovering Patterns and Insights from Large Data Sets
• Effective Communication of Data Analysis Findings
• Career Opportunities and Learning Paths in Data Analytics
• Spreadsheet Tools for Data Analysis: An Introduction
• Ensuring Data Quality and Privacy in Analysis
• Techniques for Data Cleaning and Data Analysis Basics
• Advanced Data Analysis: Filtering, Sorting, and Using Pivot Tables
• Data Visualization and Dashboard Creation with Excel and IBM Cognos
• Comprehensive Guide to Creating Charts and Advanced Dashboards
• Programming for Data Science: An Introduction to Python
• Data Structures, Control Structures, and Python Fundamentals
• Working with APIs, Web Scraping, and File Handling in Python
• Project Work: Applying Python Skills in Practical Data Science
• Introduction to Databases and SQL for Data Science
• Working with Relational Databases, SQL Functions, and Join Statements
• Python for Data Analysis: Importing, Wrangling, and Exploratory Analysis
• Model Development, Evaluation, and Refinement Techniques
• Data Visualization with Python: From Basic to Advanced Tools
• Final Project: Applying Big Data Analytics in a Real-World Scenario
Instructor : Sardar Ikram Ullah Khan
• DAMA CDMP Certified
• CMMI Level-II Lead Consultant Certified
• CMMI Level-III Lead Consultant Certified
• ISO Lead Implementer Certified
• SAP BI/BW Certified Consultant
• AWS Big Data Certified
• PMP Certified
With expertise in Data Management, I have developed data-driven solutions that increase efficiency and improve decision-making.
As a commercial diplomat + Lead Trainer with 4+ years of experience in Data Management, Digital Trade, Financial Inclusion,Technological Solution.
Industry Experience
• NetSol Technologies
• Axon Mobil (US)
• Capgemini (US)
• Abacus Consulting
• Ministry of Information Technology & Telecom (MoIT&T)
• Cabinet Division (GoP)
• Systems Limited