2-Days Hands-on Training Workshop on Data Analysis & Machine Learning

Concordia College with the collaboration of COMSATS University Islamabad and NextGen Solutions is organizing a two days hands-on training workshop on Data Analysis & Machine Learning. Data analysis involves the exploration, cleaning, and interpretation of raw data to extract meaningful insights, identify patterns, and make informed decisions. It encompasses various techniques such as statistical analysis, data visualization, and predictive modeling.

Machine learning is a subset of artificial intelligence that focuses on developing algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed. It involves training algorithms on large datasets to recognize patterns, classify information, or make accurate predictions.

Data analysis and machine learning are closely intertwined, as machine learning techniques are often employed to analyze and derive insights from large and complex datasets. Machine learning algorithms can be used to uncover hidden patterns, perform automated data classification, or build predictive models that can make accurate forecasts or recommendations.

The combination of data analysis and machine learning has led to significant advancements in various industries and domains. It has revolutionized fields such as finance, healthcare, marketing, and transportation, enabling organizations to optimize processes, detect fraud, personalize user experiences, and improve decision-making.

Proficiency in data analysis and machine learning has become increasingly valuable in today’s data-driven world. The ability to extract insights from data, leverage machine learning algorithms, and make data-informed decisions can provide a competitive edge, drive innovation, and unlock new opportunities for organizations and individuals alike.


Learning Outcomes

  1. Data Mining using Python & R
  2. Exploratory Data Analysis (EDA)
  3. Predictive Modelling using Machine Learning
  4. Regression, Clustering, Classification

Target Audience

Researchers/Faculty Members and R&D Personnel from

  • Life Sciences
  • Computer Science
  • Engineering
  • Business Studies

Trainer’s Profile

Waseem Haider, Ph.D. (UIUC-USA), Associate Professor, COMSATS University Islamabad.

Note: No background in programming or statics required


2023-08-16 08:00:00

2023-08-15 08:00:00