course machine-learning-with-data-science

12000+

Trained

20+

Data Scientist

4.6

rating

N/A

Overview

The ML Data Science Training Certification will acquaint you with the basics of Data Science as well as Machine Learning, providing you all the necessary resources in one place.

The ML Data Science Training Course is designed to help you develop a solid foundation in both ML and Data Science, so that you can easily keep up with advanced concepts like Neural Networks, DL and Transfer Learning that this course provides.

The ML Data Science Training course will enable you to get a grip on the essential data science tools, and understand the principles of machine learning to derive practical solutions using predictive analytics.

Objectives of the course:

Learn the basics of machine learning and its relation to statistics and data analysis
Learn about supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline.
Learn to use data patterns to make decisions and predictions
Learn how to prepare and manage data, and create custom data analysis solutions for different industries
Learn algorithmic techniques like sorting, searching, greedy algorithms and dynamic programming

Key Features of the course

High Quality Courseware

Get access to study material, white paper, mock exam and case studies prepared by the Big Data industry experts.

Interactive instructor-led training

Training sessions that meet the exact needs of every individual.

Practical training

Experience practical project development led by actual examples.

Relevant Study Material

Get relevant study material from Big Data Community Platform.

Extensive Learning

Learn better with case studies, activities and quizzes

Self-Paced Learning

48 hours of self-paced learning.

Curriculum

Topics Covered

Introduction to Machine Learning
Typical use cases of ML
Basic statistics concepts: Descriptive stats, distributions, hypothesis testing
Supervised, Unsupervised and Reinforcement Learning
ML pipeline/workflow: Data pre-processing, encoding, feature engineering
Modeling in Machine Learning: Regression and Classification
ML algorithms using scikit-learn library modules: Linear/Polynomial Regression, Support Vector Machine, Decision Tree, Random Forest, Naive Bayes, KNN, K-Means
Train-test segmentation, cross-validation, regularization for Machine Learning algorithms
Model quality metrics: RMS Error, Explained Variance, Confusion Matrix, Precision, Recall etc

Prerequisite

There are no prerequisites for the course.
Prior knowledge of ML would be beneficial.

Study material:

1. Course Materials are important as they are aligned with the course covered in class and can be easily downloaded from the Big Data Community Platform.

2. A Comprehensive Guide that covers all your doubts and includes a detailed reading list, accessible after course completion through the Learning Plan in the Big Data Community Platform.

Benefits Attendees Get:

A Machine Learning with Data Science certificate.
A Study Guide to help you navigate further hurdles, if any come up.
Posters to be used internally in Organization or projects (Softcopy, PDF format).
Case studies to review and relearn from.
A huge amount of practical exercises to keep you on your feet.

What does Xebia provide differently?

Step into the realm of learning for an all-inclusive growth. Xebia is a pioneering IT consultancy and service provider that aims at Enterprise Development, Agile Development, DevOps, and Outsourcing Services.

World-class Training

Xebia Academy offers an intensive learning program and industry-specific training courses. It’s a globally acclaimed APMG International Partner for Big Data & Data Science training and certification coursesReadmoreReadless

Boon To Career

Xebia offers excellent consultancy, innovative tools, and continuous career growth. We will train you to become a Big Data and Data Science expert.ReadmoreReadless

Expert Advantage

Get trained by our In-House Data Science experts with an average of 18 years of experience: Data Science and Big Data Experts with extensive knowledge of data and AI.ReadmoreReadless

Flexible Learning

Pick the right course: You can choose a public class at our training centre, or learn with your colleagues in a customized, in-company training program, facilitated on-site at your location, anywhere in the world.ReadmoreReadless

Global Experience

18 years of professional training experience and trusted by over 1,00,000 professionals worldwide. Xebia Academy is the largest producer of Big Data and Data Science certifications globally. ReadmoreReadless

Hands-on And Practical Learning Experience

Our trainers are hands-on practitioners and provide interactive training sessions which let students master required skills in real-world scenarios, giving them an edge in the industry. ReadmoreReadless

Certification Process

01

Enroll for Machine Learning With Data Science Course
02

Attend the training sessions
03

Get certified by Xebia Academy Global

Industry Connect

Who should attend this course?

Developers
Analytics Managers
Information Architects
Analytics Professionals
Anyone interested in Machine Learning and using it to solve problems
Data analysts, economists or researchers

What skills will you learn in the course?

The Basics

You’ll learn the basics of machine learning and its relation to statistics and data analysis.ReadmoreReadless

Learning Models

You’ll learn about supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline. ReadmoreReadless

Data-Based Predictions

You’ll learn to use data patterns to make decisions and predictions. ReadmoreReadless

Working with Data

You’ll learn how to prepare and manage data, and create custom data analysis solutions for different industries.ReadmoreReadless

Algorithmic Techniques

You’ll learn algorithmic techniques like sorting, searching, greedy algorithms and dynamic programming. ReadmoreReadless

Why should you attend this course?

By the end of this course, you’ll acquire an understanding of:

The basics of machine learning and its relation to statistics and data analysis
Supervised learning and unsupervised learning models
How to use data patterns to make decisions and predictions
How to prepare and manage data, and create custom data analysis solutions
Algorithmic techniques like sorting, searching, greedy algorithms and dynamic programming

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Program Visual Library

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FAQs

There are no prerequisites needed for this course.

The enrollment process is actually easy. You just need to choose your options: Debit/Credit Card or PayPal.

There is no exam that you need to appear for to receive the Machine Learning with Data Science certification. However, finishing 48 hours of training is a must.

The Machine Learning with Data Science certification is valid for a lifetime. You do not need to renew it.

The training sessions are of 48 hours, which you can finish at your own pace.