Data Mining : Concepts and Techniques Training in Gurgaon, Delhi

Data Mining : Concepts and Techniques

Learn the Methods and Techniques to Extract Information from Data, and generate useful Predictions, with Weka / Python / R

Duration : 1 year Classes : 72 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

Discover the hidden patterns and actionable insights buried within complex datasets in our comprehensive course Data Mining: Concepts and Techniques. Participants will explore how to extract knowledge from structured and unstructured data using techniques such as classification, clustering, association rule mining, and anomaly detection. With a strong emphasis on both theory and hands-on practice, learners will gain proficiency in tools like Python, R, and SQL, while working with real-world datasets across domains like finance, healthcare, marketing, and cybersecurity. Whether you're building predictive models or uncovering trends, this course equips you with the analytical mindset and technical skills to turn raw data into strategic value.

Data Mining (aka KDD, Knowledge Discovery in Data) is the key to unlocking the true potential of data. It transforms raw information into actionable knowledge, enabling individuals and organizations to navigate the complexities of the modern world with greater intelligence and foresight.

One of the Top 10 technologies to watch, as per Gartner. The world is generating and collecting enormous amounts of data every second. Raw data, however, is just noise without analysis. Data Mining provides the techniques and tools to sift through this chaos, identify patterns, trends, and anomalies, and extract truly useful information.

One of the most significant aspects of data mining is its ability to enable predictive analytics. By analyzing historical data, data mining models can forecast future trends, anticipate customer behavior, predict market demand, and identify potential risks. This foresight allows organizations to be proactive, seize emerging opportunities, and mitigate threats before they become costly problems.

Target Audience:-
- Data analysts and scientists seeking to deepen their understanding of pattern discovery and predictive modeling
- Students and researchers in computer science, statistics, business intelligence, and engineering
- Professionals in finance, healthcare, retail, and cybersecurity looking to apply data mining to domain-specific problems
- Developers and technical leads building intelligent systems and recommendation engines
- Academics and educators teaching or researching in the field of data analytics and machine learning

Learning Outcomes:-
- Understand and apply the core concepts of data mining
- Gain proficiency in data mining methodologies and tools
- Develop problem-solving and data patterns skills using data mining methods
- Learn to manipulate, analyze, and visualize data effectively
- Interpret and visualize mining results to support business and research decisions

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

To get the maximum benefit from the training, we expect that candidates are familiar with :-

-Mathematical concepts of Probability, Linear Algebra, and Calculus
-Basic Programming and Basic Statistics Skills are Mandatory
-Basic RDBMS concepts
-You have a genuine interest to learn the subject

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NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Introduction to Data Mining and Data Preprocessing
✔ Data Mining Fundamentals
✔ KDD process
✔ Data Objects and Attribute Types
✔ Data Quality and Preprocessing Overview
✔ Data Cleaning
✔ Data Integration and Transformation
✔ Applications of data mining in multiple domains
✔ Tools and Technologies for Data Mining

Module 2: Data Exploration, Visualization, and Reduction
✔ Handling imbalanced datasets and outliers
✔ Descriptive Data Summarization
✔ Data Visualization
✔ Data Reduction Strategies
✔ Dimensionality Reduction
✔ Numerosity Reduction

Module 3: Classification and Prediction
✔ Decision trees
✔ Model training
✔ Performance metrics
✔ Ensemble methods

Module 4: Association Rule Mining
✔ Market basket analysis and frequent itemsets
✔ The Apriori Algorithm
✔ Generating Association Rules
✔ Efficiency and Improvement
✔ Evaluating Rule Interest
✔ Applications in recommendation systems and retail analytics

Module 5: Classification: Predictive Modeling
✔ General Approach to Classification
✔ Decision Tree Induction
✔ Bayesian Classification
✔ Model Evaluation and Comparison
✔ Advanced Classification Concepts

Module 6: Cluster Analysis: Unsupervised Learning
✔ Partitioning Methods
✔ Hierarchical Methods
✔ Density-Based Methods
✔ Cluster Evaluation
✔ Applications in customer segmentation, anomaly detection

Module 7: Advanced Topics in Data Mining
✔ Sequential pattern mining and time-series analysis
✔ Web mining and text mining basics
✔ Graph mining and social network analysis
✔ Introduction to anomaly and outlier detection
✔ MOA System
✔ Common pitfalls in Data Mining

Module 8: Capstone Project
✔ Select a domain-specific dataset
✔ Apply appropriate mining techniques
✔ Preprocessing, modeling, evaluation, and insights
✔ Present findings through visualizations

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.