Share this course’s details with your family and friends.
Data Science Training
Learn data science with Iteanz—hands-on training in Python, ML, data analysis, visualization, and real-world projects.
About Program
Unlock data-driven success – Expert-led Data Science training in analytics, machine learning & real-world insights.
The Data Science Training offered by Iteanz is a comprehensive and industry-relevant program designed to equip professionals with the analytical, statistical, and technical skills needed to extract meaningful, actionable insights from large and complex datasets across various domains.
This course offers in-depth coverage of key data science concepts, including data wrangling, statistical analysis, machine learning, data visualization, and model deployment. Through hands-on projects, real-world case studies, and expert instruction, participants will gain practical experience in building predictive models, uncovering trends, and driving data-informed decision-making across various industries.
Curriculum
Getting Started With Data Science and Recommender Systems
- Data Science Overview
- Reasons to use Data Science
- Project Lifecycle
- Data Acquirement
- Evaluation of Input Data
- Transforming Data
- Statistical and analytical methods to work with data
- Machine Learning basics
- Introduction to Recommender systems
- Apache Mahout Overview
Reasons to Use, Project Lifecycle
- What is Data Science?
- What Kind of Problems can you solve?
- Data Science Project Life Cycle
- Data Science-Basic Principles
- Data Acquisition
- Data Collection
- Understanding Data- Attributes in a Data, Different types of Variables
- Build the Variable type Hierarchy
- Two Dimensional Problem
- Co-relation b/w the Variables- explain using Paint Tool
- Outliers, Outlier Treatment
- Boxplot, How to Draw a Boxplot
Acquiring Data
- Discussion on Boxplot- also Explain
- Example to understand variable Distributions
- What is Percentile? – Example using Rstudio tool
- How do we identify outliers?
- How do we handle outliers?
- Outlier Treatment: Using Capping/Flooring General Method
- Distribution- What is Normal Distribution
- Why Normal Distribution is so popular
- Uniform Distribution
- Skewed Distribution
- Transformation
Machine Learning in Data Science
- Discussion about Box plot and Outlier
- Goal: Increase Profits of a Store
- Areas of increasing the efficiency
- Data Request
- Business Problem: To maximize shop Profits
- What are Interlinked variables
- What is Strategy
- Interaction b/w the Variables
- Univariate analysis
- Multivariate analysis
- Bivariate analysis
- Relation b/w Variables
- Standardize Variables
- What is Hypothesis?
- Interpret the Correlation
- Negative Correlation
- Machine Learning
Statistical and Analytical Methods Dealing With Data, Implementation of Recommenders Using Apache Mahout and Transforming Data
- Correlation b/w Nominal Variables
- Contingency Table
- What is Expected Value?
- What is Mean?
- How Expected Value is differ from Mean
- Experiment – Controlled Experiment, Uncontrolled Experiment
- Degree of Freedom
- Dependency b/w Nominal Variable & Continuous Variable
- Linear Regression
- Extrapolation and Interpolation
- Univariate Analysis for Linear Regression
- Building Model for Linear Regression
- Pattern of Data means?
- Data Processing Operation
- What is sampling?
- Sampling Distribution
- Stratified Sampling Technique
- Disproportionate Sampling Technique
- Balanced Allocation-part of Disproportionate Sampling
- Systematic Sampling
- Cluster Sampling
- 2 angels of Data Science-Statistical Learning, Machine Learning
Testing and Assessment, Production Deployment and More
- Multi variable analysis
- linear regration
- Simple linear regration
- Hypothesis testing
- Speculation vs. claim(Query)
- Sample
- Step to test your hypothesis
- performance measure
- Generate null hypothesis
- alternative hypothesis
- Testing the hypothesis
- Threshold value
- Hypothesis testing explanation by example
- Null Hypothesis
- Alternative Hypothesis
- Probability
- Histogram of mean value
- Revisit CHI-SQUARE independence test
- Correlation between Nominal Variable
Business Algorithms, Simple Approaches to Prediction, Building Model, Model Deployment
- Machine Learning
- Importance of Algorithms
- Supervised and Unsupervised Learning
- Various Algorithms on Business
- Simple approaches to Prediction
- Predict Algorithms
- Population data
- sampling
- Disproportionate Sampling
- Steps in Model Building
- Sample the data
- What is K?
- Training Data
- Test Data
- Validation data
- Model Building
- Find the accuracy
- Rules
- Iteration
- Deploy the model
- Linear regression
Getting Started With Segmentation of Prediction and Analysis
- Clustering
- Cluster and Clustering with Example
- Data Points, Grouping Data Points
- Manual Profiling
- Horizontal & Vertical Slicing
- Clustering Algorithm
- Criteria for take into Consideration before doing Clustering
- Graphical Example
- Clustering & Classification: Exclusive Clustering, Overlapping Clustering, Hierarchy
- Clustering
- Simple Approaches to Prediction
- Different types of Distances: 1.Manhattan, 2.Euclidean,
3.Consine Similarity - Clustering Algorithm in Mahout
- Probabilistic Clustering
- Pattern Learning
- Nearest Neighbor Prediction
- Nearest Neighbor Analysis
Integration of R and Hadoop
- R introduction
- How R is typically used
- Features of R
- Introduction to Big data
- R+Hadoop
- Ways to connect with R and Hadoop
- Products
- Case Study
- Architecture
- Steps for Installing RIMPALA
- How to create IMPALA packages
Get Started with a Demo
Key Features of our Training.
Expert Trainers
Learn from experienced professionals and industry experts with real-world knowledge.
Hands-On Training
Gain practical experience through real-world scenarios, projects, and interactive exercises.
Customizable Corporate Training
Tailored solutions to meet the unique needs of organisations and teams.
Certifications & Assistance
Courses are aligned with international standards and we also help you to prepare for globally recognised certifications.
Global Recognition
Trusted by individuals and enterprises worldwide, with a track record of successful alumni and partnerships.
24 x 7 Expert Support
We have a 24x7 online support team to resolve all your technical queries, through a ticket-based tracking system, for a lifetime.
Testimonials
Success Stories in Their Own Words
“Appreciate how hands-on this training was! From Python basics to machine learning models, everything was taught with practical examples. This course filled gaps in my self-taught knowledge perfectly.”
Sudha Chatterjee
ML Engineer
“Finally a data science course that doesn't overwhelm! The step-by-step approach helped me grasp concepts I'd struggled with before. Faculty made sessions super interactive, and the support team was incredibly responsive.”
Suman Subhadarshini
Business Analyst
“"Impressed by how current the curriculum was - covering all the latest tools and techniques. Faculty had industry experience which showed in their teaching and through case studies that mirrored real business problems.”
Nikitha Suresh
Quant Analyst
FAQ's
Will I get placement assistance?
Iteanz is providing 100% placement assistance on our key courses. We help you with career counseling, Exams on Key courses, Mock Interviews and Technical Interviews Tips.
Landing an interview proves that you have the job-specific skills for the position, but how do your interview skills stack up? Also, Soft skills are often the most important factor in showing you're the best candidate for the job.
Hence we are conducting FREE TRAINING on Soft-Skills worth Rs-25,000 to all Iteanz students which will help you to attend the interviews with more confidence.
Can I attend a demo session before enrollment?
Yes. We arrange a free demo for all the courses either in the Classroom or Live-Online demo. Please fill the demo request form to schedule a free demo.
What if I miss a class?
You will never miss a lecture at myTectra. You can choose either of the two options:
Classroom Training:
- If you miss one or a few classes we can give a backup class based on the trainer and your convenient time.
- In case you miss many classes, we can reschedule your class with upcoming batches or other running batches based on how many course topics you have completed so far.
Live-Online Training:
- View the recorded session of the class available in your LMS.
- You can attend the missed session, in any other live batch.
What if I have more queries?
Just give us a CALL at +91-80-468-10331 OR email at info@iteanz.com
What are the payment options?
Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email for both classroom training and Online training.
- Visa Debit/Credit Card
- American Express and Diners Club Card
- Master Card
- PayPal
- Net Banking/Wire Transfer
- UPI Payment such as Google Pay, PhonePe, Paytm
- Cash/Cheque/DD ( Not for Online Training )
Where do the classes take place?
For Individual:
Classroom Training - Bangalore
Live-Online Training - Globally
For Corporates:
Classroom Training - We deliver classroom training for corporate in more than 20 countries. Send us an Enquiry Now!
Online Training - Globally
* All of the classes are conducted live online. They are interactive sessions that enable you to ask questions and participate in discussions during class time. We do, however, provide recordings of each session you attend for your future reference.
Who are the Trainers?
Our Trainer’s are chosen not only for their knowledge and expertise but also for their real-time experience in the respective courses.
Career Services
Placement Assistance
Resume & LinkedIn Profile Building
Exclusive access to Iteanz Job portal
Access to Soft Skill Enhancement
Mock Interview Preparation
One-on-one career guidance
Related Programs
Corporate Training
Empower your team to excel—transform potential into performance with Iteanz Corporate Training today!
We’d Love to Assist You!
Talk to our training advisor today and discover how Iteanz can help you achieve your training goals.