What experience level is required for AdelaideX: Big Data Analytics?

This course is aimed at the Intermediate level. Having some basic understanding of the topic will help you get the most out of the curriculum.

How long does it take to complete AdelaideX: Big Data Analytics?

The total duration of the course is approximately 10 weeks. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

Do I get a certificate after completing AdelaideX: Big Data Analytics?

Yes, a certificate of completion is included, which you can add to your professional profile or resume to showcase your newly acquired skills.

What careers is this course relevant for?

The skills taught in this course are highly relevant for professionals pursuing roles within Computer Science and adjacent technical fields looking to upskill.

Computer Science

AdelaideX: Big Data Analytics

Name: AdelaideX: Big Data Analytics
Price: 16517 INR
Availability: InStock

Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information.

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₹12,510/yr

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₹165170

Keep the course forever with lifetime access and receive a certificate.

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₹33,026

EnterpriseFor organizations with 50+ learners

Custom Pricing

Why choose Essentials (Small Teams)?

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1 Academy,16 Self-Paced Courses

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Self-Paced Learning ,Employee Upskilling

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Computer Science fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlyCertification IncludedSelf-Paced Learning

SKILLS TO
MASTER

Computer Science Basics

Fundamental principles and concepts

Practical Application

Real-world project implementation

Best Practices

Industry standard workflows and guidelines

Problem Solving

Core Concepts

Implementation

Workflow Integration

Optimization

Careers:Data Scientist, Data Analyst, Machine Learning Engineer.

Quick Facts

10 weeks

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What You’ll Learn

How to develop algorithms for the statistical analysis of big data;.
Knowledge of big data applications;.
How to use fundamental principles used in predictive analytics;.
Evaluate and apply appropriate principles, techniques and theories to large-scale data science problems..

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Description

Gain essential skills in today’s digital age to store, process and analyse data to inform business decisions.

In this course, part of the Big Data MicroMasters program, you will develop your knowledge of big data analytics and enhance your programming and mathematical skills. You will learn to use essential analytic tools such as Apache Spark and R.

Topics covered in this course include:

cloud-based big data analysis;

predictive analytics, including probabilistic and statistical models;

application of large-scale data analysis;

analysis of problem space and data needs.

By the end of this course, you will be able to approach large-scale data science problems with creativity and initiative.

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