Corporate Data Mining Training Course

Edstellar's instructor-led Data Mining training course is the perfect solution for teams to learn how to extract insights and valuable knowledge from large and complex datasets. This training covers all aspects of data mining using the latest tools and techniques. Take advantage of this opportunity to boost the team productivity.

32 - 40 hrs
Instructor-led (On-site/Virtual)
Language
English
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Data Mining Corporate Training Course

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Drive Team Excellence with Data Mining Training for Employees

Empower your teams with expert-led on-site/in-house or virtual/online Data Mining Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Data Miningcorporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this Data Mining group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

The Data Mining training course is designed to provide teams with the crucial knowledge and skills to extract insights and valuable knowledge from large and complex datasets. This training covers all aspects of data mining, from preprocessing to evaluation, using the latest tools and techniques. Firms also gain a competitive advantage in improved customer engagement and revenue through targeted marketing and enhanced understanding of business processes and customers.

Data Mining instructor-led training from Edstellar employees learn how to analyze data effectively, automate data analysis processes, and make better decisions based on insights extracted from data. Organizations that invest in this virtual/  onsite Data Mining training, led by certified trainers and tailored to best match organizations' requirements, benefit from improved data analysis, decision-making, and productivity through data mining techniques and tools.

Key Skills Employees Gain from Data Mining Training

Data Mining skills corporate training will enable teams to effectively apply their learnings at work.

  • Large Dataset Handling
  • Model Evaluation Metrics
  • Data Mining Tools
  • Exploratory Data Analysis
  • Fundamental Techniques
  • Machine Learning Algorithms

Data Mining Training for Employees: Key Learning Outcomes

Edstellar’s Data Mining training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Data Mining workshop, teams will to master essential Data Mining and also focus on introducing key concepts and principles related to Data Mining at work.


Employees who complete Data Mining training will be able to:

  • Learn how to evaluate the performance of data mining models, including metrics such as accuracy, precision, recall, and F1-score
  • Ability to learn how to handle large datasets and perform exploratory data analysis (EDA) to identify patterns and relationships in the data
  • Familiarity with how to use popular Data Mining tools and software, such as R, Python, Weka, RapidMiner, and KNIME, to perform data mining tasks
  • Gain experience applying data mining techniques to real-world problems, such as customer segmentation, fraud detection, and predictive maintenance
  • Knowledge about the latest machine learning algorithms in data mining, including decision trees, random forests, Support Vector Machines (SVMs), and neural networks
  • Understand fundamental concepts and techniques used in data mining, including data preprocessing, feature selection, clustering, classification, and association rule mining

Key Benefits of the Data Mining Corporate Training

Attending our Data Mining classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online Data Mining training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Data Mining.

  • Enhances organizations' ability to uncover valuable insights and patterns hidden within their data, empowering them to make informed business decisions
  • Promotes a data-driven culture within organizations, fostering a deeper understanding of data analytics and encouraging data-driven decision-making at all levels
  • Helps gain a competitive edge by harnessing the power of data to identify customer preferences, personalize marketing efforts, and deliver enhanced customer experiences
  • Equips employees with advanced data mining techniques, enabling them to identify trends, correlations, and patterns that may otherwise go unnoticed, leading to better forecasting and strategic planning
  • Equips organizations with the skills necessary to efficiently collect, analyze, and interpret data, enabling them to identify new opportunities, optimize processes, and improve overall operational efficiency

Data Mining Training Topics and Outline

Our virtual and on-premise Data Mining training curriculum is divided into multiple modules designed by industry experts. This Data Mining training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. Essentials of data mining
    • Understanding the data mining process
    • Applications and challenges
  2. Types of data
    • Categorical and numerical data
    • Time-series and sequence data
  3. Data mining methodologies
    • CRISP-DM
    • SEMMA
  1. Data cleaning
    • Handling missing values
    • Noise and outlier correction
  2. Data transformation
    • Normalization and scaling
    • Feature engineering
  3. Data reduction techniques
    • Dimensionality reduction
    • Discretization and binarization
  1. Basics of data warehousing
    • Data warehouse architecture
    • ETL processes
  2. OLAP operations
    • Roll-up and drill-down
    • Slicing and dicing
  3. Data warehouse design
    • Star schema
    • Snowflake schema
  1. Introduction to data cubes
    • Data cube concepts
    • Data cube computation
  2. Data cube storage
    • Sparse and dense cube structures
    • Indexing and querying
  3. Cube aggregation operations
    • Aggregation functions
    • Materialized views
  1. Basic concepts
    • Itemsets, association rules, and metrics
    • Support and confidence calculation
  2. Mining frequent itemsets
    • Apriori algorithm
    • FP-growth method
  3. Advanced correlation analysis
    • Lift and leverage
    • Conviction and interest
  1. Sequential pattern mining
    • Concepts and applications
    • GSP, PrefixSpan algorithms
  2. Structured pattern mining
    • Graph-based mining
    • Tree patterns
  3. Pattern evaluation methods
    • Pattern interestingness
    • Constraint-based mining
  1. Basics of classification
    • Classification algorithms
    • Decision tree basics
  2. Model evaluation
    • Confusion matrix
    • Accuracy, precision, and recall
  3. Ensemble methods
    • Bagging and boosting
    • Random forests
  1. Neural networks
    • Architecture and learning
    • Backpropagation algorithm
  2. Support vector machines
    • Linear and non-linear SVMs
    • Kernel methods
  3. Bayesian classification
    • Naive Bayes
    • Bayesian belief networks
  1. Introduction to clustering
    • Clustering concepts
    • K-means and hierarchical clustering
  2. Cluster evaluation
    • Internal and external indices
    • Validity measures
  3. Density-based clustering
    • DBSCAN
    • OPTICS
  1. Model-based clustering
    • Gaussian mixture models
    • Expectation-Maximization (EM) algorithm
  2. Clustering high-dimensional data
    • Subspace and spectral clustering
    • Dimensionality reduction techniques
  3. Scalability in clustering
    • Large data sets handling
    • Parallel and distributed clustering
  1. Outlier detection techniques
    • Statistical approaches
    • Proximity-based methods
  2. Applications of outlier detection
    • Fraud detection
    • Anomaly detection in networks
  3. Challenges in outlier detection
    • High-dimensional spaces
    • Temporal and spatial outlier detection

This Corporate Training for Data Mining is ideal for:

What Sets Us Apart?

Data Mining Corporate Training Prices

Our Data Mining training for enterprise teams is tailored to your specific upskilling needs. Explore transparent pricing options that fit your training budget, whether you're training a small group or a large team. Discover more about our Data Mining training cost and take the first step toward maximizing your team's potential.

Small Group
Large Groups

Request for a quote to know about our Data Mining corporate training cost and plan the training initiative for your teams. Our cost-effective Data Mining training pricing ensures you receive the highest value on your investment.

Request for a Quote

Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your Data Mining training by choosing one of our training packages. This option is best suited for organizations with multiple training requirements. Our training packages are a cost-effective way to scale up your workforce skill transformation efforts..

Starter Package

125 licenses

64 hours of training (includes VILT/In-person On-site)

Tailored for SMBs

Most Popular
Growth Package

350 licenses

160 hours of training (includes VILT/In-person On-site)

Ideal for growing SMBs

Enterprise Package

900 licenses

400 hours of training (includes VILT/In-person On-site)

Designed for large corporations

Custom Package

Unlimited licenses

Unlimited duration

Designed for large corporations

View Corporate Training Packages

Data Mining Course Completion Certificate

Upon successful completion of the Data Mining training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development. This certificate validates the employees' acquired skills and serves as a powerful motivator, inspiring them to further enhance their expertise and contribute effectively to organizational success.

Target Audience for Data Mining Training Course

The Data Mining training is designed for data analysts, business intelligence professionals, data scientists, researchers and academics, and IT professionals.

The Data Mining training program can also be taken by professionals at various levels in the organization.

Data Mining training for managers

Data Mining training for staff

Data Mining training for leaders

Data Mining training for executives

Data Mining training for workers

Data Mining training for businesses

Data Mining training for beginners

Data Mining group training

Data Mining training for teams

Data Mining short course

Prerequisites for Data Mining Training

Professionals can take the Data Mining training course with a basic understanding of databases and statistics and familiarity with programming.

Assess the Training Effectiveness

Bringing you the Best Data Mining Trainers in the Industry

The instructor-led Data Mining training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Data Mining Access practices.

Mukesh
Mukesh
Bengaluru, India
Trainer since
December, 2010
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Indrani
Indrani
Kolkata,, India
Trainer since
June, 2010
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Chirantan
Chirantan
Mumbai, India
Trainer since
January, 2017
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Training Delivery Modes for Data Mining Group Training

At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online Data Mining training for companies. This method has proven to be the most effective, outcome-oriented and well-rounded training experience to get the best training results for your teams.

Virtuval
Virtual

Instructor-led Training

Engaging and flexible online sessions delivered live, allowing professionals to connect, learn, and grow from anywhere in the world.

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On-Site
On-Site

Instructor-led Training

Customized, face-to-face learning experiences held at your organization's location, tailored to meet your team's unique needs and objectives.

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Off-Site
Off-site

Instructor-led Training

Interactive workshops and seminars conducted at external venues, offering immersive learning away from the workplace to foster team building and focus.

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