Unable to find what you're searching for?
We're here to help you find itData Science and Big Data Analytics v2 Course Overview
The Data Science and Big Data Analytics v2 course is designed to introduce learners to the expansive world of data science and big data analytics. It covers the essentials of the field, including the defining characteristics of big data and the important business drivers that necessitate the use of big data analytics. The course outlines the pivotal role of the data scientist and the skills necessary to succeed in the field.
Through a structured Data analytics lifecycle, learners will grasp the sequential phases of a project including discovery, data preparation, model planning, and model building, with associated activities and roles. The course delves into Initial data analysis using R, statistical measures, and Hypothesis testing.
Advanced analytics techniques such as k-means clustering, linear and logistic regression, decision trees, and Text analytics are explored. The course also addresses the technological challenges of big data, presenting tools like MapReduce and Apache Hadoop, along with In-database analytics and Advanced SQL methods.
Finally, it emphasizes the importance of operationalizing analytics projects and the effective communication of findings through data visualization techniques, ensuring insights are actionable and impactful. This comprehensive course is an invaluable resource for those looking to master data science and big data analytics.
Successfully delivered 1 sessions for over 1 professionals
Intermediate
Purchase This Course
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Certainly! To ensure a productive learning experience in the Data Science and Big Data Analytics v2 course, students should meet the following minimum prerequisites:
These prerequisites are intended to provide a foundation upon which the course content can build. The course is designed to be accessible, with the assumption that students are motivated and have a base level of technical acumen. With these prerequisites, students will be better equipped to grasp the principles of Big Data analytics and the role of a Data Scientist.
Data Science and Big Data Analytics v2 is a comprehensive course designed to equip learners with the skills to analyze large datasets.
Embark on a journey through the essentials of Data Science and Big Data Analytics, acquiring critical skills to extract actionable knowledge from complex data.