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Hands-on Labs

Getting Started with Data Science – Jupyter, R on Ubuntu Machine

Whether you're a student, professional, or enthusiast looking to enter the field of data science, this course provides a comprehensive introduction to Jupyter, R, and data science principles.

Intermediate

Lab Description

The "Getting Started with Data Science - Jupyter, R on Ubuntu Machine" hands-on lab is a comprehensive program designed to provide participants with the necessary knowledge and practical skills to embark on their data science journey using Jupyter notebooks and the R programming language on an Ubuntu machine.

Pre-requisite

Getting Started with Data Science - Jupyter, R on Ubuntu Machine lab is suitable for beginners and individuals with some programming experience who are interested in entering the field of data science.

Learning objective

Throughout the lab, participants will be introduced to the fundamentals of data manipulation, analysis, and visualization using Jupyter Notebooks. They will gain a solid understanding of the data science workflow, starting from data preprocessing and exploration to statistical analysis, machine learning, and data visualization.
The lab will cover essential topics in data science, including data cleaning, feature engineering, hypothesis testing, regression analysis, classification, clustering, and dimensionality reduction. Participants will learn how to perform these tasks using the R programming language and leverage its vast ecosystem of packages and libraries for data analysis and modeling.

Lab Exercises

Instruction with the Lab environment

Log in to JupyterLab Portal

Execute Jupyter Notebooks with Python

Why Choose Us?

On Demand Labs

Launch pre-validated labs within seconds according to your requirements without any hassle.

Instructor Control

Monitor progress and provide real-time guidance with shadow labs feature for a look-over-the-shoulder experience

No Cloud Trials

No need of Cloud Subscriptions, we take care of that for you.

FIXED COST

No need to worry about cloud spends, everything is included.

Validated Lab Environments

CloudLabs lab environments and lab guides are tested and optimized to ensure that learners have a smooth experience while performing the labs.

24x7 Support

Our support team is available 24/7 to provide timely and effective solutions to all queries

FAQ's

A hands-on lab is a virtual environment where you can actively engage in practical exercises and simulations related to a specific subject or technology. It allows you to gain real-world experience and develop practical skills.

Upon enrolment, student will receive voucher code and access instructions to launch the lab environment.

No, generally, MOC Hands-On Labs are designed to be completed in one continuous session. Once you start a lab, it's recommended to allocate enough time to finish it in one go.

Only a system with internet access and a compatible web browser.

Yes, CloudLabs Hands-on labs often come with built-in tracking and reporting features. These features allow you to monitor trainee progress, track completion rates, and generate reports on lab performance. This enables you to assess individual or group achievements and measure the effectiveness of your training initiatives.

CloudLabs have the SLA of 15 days to update the Labs.

Learners are typically allowed to access the lab once.

We have CloudLabs Shadow which is an embedded feature integrated into the CloudLabs platform that lets Instructors shadow the learners environment.

Cloud Labs support team is available 24/7 for 365 days over email and live chat.

Email Support: labs-support@spektrasystems.com
Live Chat Support: https://cloudlabs.ai/labs-support

This Hands-on lab includes

Azure

01 Day

03 Exercises

Role

Cloud Administrator

Cloud Solutions Architect

Cloud Sales Specialist

Cloud Developer

Cloud Security Engineer

Cloud Consultant

Cloud Project Manager

How to Purchase

Order labs:

Reach to us at:
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