Big Data Analytics

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Explore the Power of Data with Big Data Analytics Expertise

The Big Data Analytics Diploma Program is designed for professionals eager to harness the power of data to drive strategic decisions. This four-month program offers a comprehensive learning experience, blending theoretical knowledge with hands-on application. By exploring tools like Python, NoSQL databases, and real-time analytics frameworks, participants will gain practical skills to tackle real-world challenges and unlock data-driven growth for their organizations.

Key Features:

Python Foundations for Big Data Analytics:

  • Get hands-on experience setting up Python and using Jupyter Notebooks for data analysis.
  • Master numerical data manipulation and arrays using Python to build the foundation for machine learning applications.
  • Understand the evolution of Python and its pivotal role in big data analytics.

Big Data Wrangling:

  • Learn about the evolution and importance of big data in today’s analytics-driven world.
  • Explore exploratory data analysis (EDA) and data preparation techniques.
  • Gain insights into Metadata management and its role in organizing and structuring data in data lakes.

Big Data Management with NoSQL:

  • Understand NoSQL databases and how they handle large, unstructured data across multiple systems.
  • Work with NoSQL databases like MongoDB, Redis, Cassandra, and Neo4J to manage data effectively.
  • Dive into industry-specific case studies to see real-world applications of NoSQL technologies.

Machine Learning for Big Data:

  • Discover the basics of machine learning algorithms and their applications in both small and big data environments.
  • Get hands-on with various machine learning algorithms and their implementation.
  • Apply machine learning concepts to solve real-world business problems.

Infrastructure for Real-Time Big Data Analytics:

  • Explore the technologies powering real-time data analytics, such as Lambda, Kappa, Spark, Storm, and Kafka.
  • Learn about the design and development of in-house infrastructure for processing and analyzing real-time big data.
  • Examine practical use cases of real-time analytics across various industries.
  • Clean, prepare, and manage large and complex datasets using advanced wrangling techniques.
  • Implement ML algorithms to extract predictive insights and solve real-world business problems.
  • Write and optimize Python code for statistical analysis, data modeling, and automation in analytics workflows.
  • Plan and deploy in-house systems for handling big data efficiently and securely.
  • Present findings through interactive dashboards, charts, and reports for strategic use by stakeholders.
  • Apply best practices in governance, security, and privacy to meet organizational and legal standards.
  • Turn raw data into actionable intelligence that supports innovation and growth.

Enrollment Fee:

  • Upon enrollment, a fee of Rs. 1500/- is applicable.
  • Upon receipt of the enrollment fee, the date for an on-campus test/ interview will be scheduled & informed via email.
  • Shortlisted candidates will be notified of their selection through email.

Program Fee:

  • Program fee PKR 230,000/- (+3% SST)
  • Flexible Payment Mode Available

Program Details

  • 4 – Months program
  • Weekend Program
  • On-site Physical Sessions
  • IBA City Campus

Eligibility Criteria:

  • Graduates are preferred.

Student Policy:

  • It is essential for program participants to fulfill the requirement of clearing the program fee.
  • Non-compliance with fee payment may result in termination from the program.
  • Enhanced employability with in-demand big data and analytics skills.
  • Ability to drive data-driven decision-making and business strategies.
  • Expertise in emerging technologies like machine learning and real-time analytics.
  • Opportunities for career growth in data science, AI, and big data management.
  • Develop skills to manage and analyze complex data sets for organizational impact.

Dr. Muhammad Affan Alim

Dr. Sohail Imran

Who Should Attend

  • Data analysts or engineers looking to expand into big data technologies.
  • Managers who want to make better decisions using data insights.
  • Software developers interested in data science and analytics.
  • Professionals in banking, telecom, healthcare, or retail handling large datasets.
  • Researchers and academics working with complex data systems.

RS 230,000

Apply Now

Level of the Course

Beginners to Expert

Batch Number

14

Alumni

400

Duration

4 Months

Registration Status

Open

Last Date to Apply

To be announced

Commencement Month

To be announced

OVERVIEW

Explore the Power of Data with Big Data Analytics Expertise

Equip yourself with advanced skills and certification to analyze and interpret massive data sets, driving business insights and growth.

Apply Now
View Brochure

Course Overview

The Big Data Analytics Diploma Program is designed for professionals eager to harness the power of data to drive strategic decisions. This four-month program offers a comprehensive learning experience, blending theoretical knowledge with hands-on application. By exploring tools like Python, NoSQL databases, and real-time analytics frameworks, participants will gain practical skills to tackle real-world challenges and unlock data-driven growth for their organizations.

Key Features:

 

Python Foundations for Big Data Analytics:

  • Get hands-on experience setting up Python and using Jupyter Notebooks for data analysis.
  • Master numerical data manipulation and arrays using Python to build the foundation for machine learning applications.
  • Understand the evolution of Python and its pivotal role in big data analytics.

Big Data Wrangling:

  • Learn about the evolution and importance of big data in today’s analytics-driven world.
  • Explore exploratory data analysis (EDA) and data preparation techniques.
  • Gain insights into Metadata management and its role in organizing and structuring data in data lakes.

Big Data Management with NoSQL:

  • Understand NoSQL databases and how they handle large, unstructured data across multiple systems.
  • Work with NoSQL databases like MongoDB, Redis, Cassandra, and Neo4J to manage data effectively.
  • Dive into industry-specific case studies to see real-world applications of NoSQL technologies.

Machine Learning for Big Data:

  • Discover the basics of machine learning algorithms and their applications in both small and big data environments.
  • Get hands-on with various machine learning algorithms and their implementation.
  • Apply machine learning concepts to solve real-world business problems.

Infrastructure for Real-Time Big Data Analytics:

  • Explore the technologies powering real-time data analytics, such as Lambda, Kappa, Spark, Storm, and Kafka.
  • Learn about the design and development of in-house infrastructure for processing and analyzing real-time big data.
  • Examine practical use cases of real-time analytics across various industries.
  • Enhanced employability with in-demand big data and analytics skills.
  • Ability to drive data-driven decision-making and business strategies.
  • Expertise in emerging technologies like machine learning and real-time analytics.
  • Opportunities for career growth in data science, AI, and big data management.
  • Develop skills to manage and analyze complex data sets for organizational impact.
  •  

Affan Alim

With 16 years of experience in Machine Learning, Deep Learning, and Data Science, Dr. Alim is a renowned figure in his field. He has developed numerous industry-based projects and brings a wealth of knowledge on pattern classification, computer vision, and model optimization.

Sohail Imran

With over 18 years of experience in Big Data Analytics and Machine Learning, Mr. Imran has provided training to various institutes, universities, and the corporate sector. He specializes in SQL and NoSQL databases, as well as Big Data Infrastructure, and is an expert in developing analytics platforms using technologies like Hadoop, Spark, Kafka, and Python.

Aziz Mahmood Farooqui

An expert in the field of Big Data Analytics, Mr. Farooqi holds a Master’s degree in Computer Science and is pursuing a Ph.D. in Computer Science from the National University of Computer & Emerging Sciences, Karachi. He brings both academic excellence and industry insight into the classroom.