Unable to find what you're searching for?
We're here to help you find itThe 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.
This is a Rare Course and it can be take up to 3 weeks to arrange the training.
1-on-1 Training
Schedule personalized sessions based upon your availability.
Customized Training
Tailor your learning experience. Dive deeper in topics of greater interest to you.
4-Hour Sessions
Optimize learning with Koenig's 4-hour sessions, balancing knowledge retention and time constraints.
Free Demo Class
Join our training with confidence. Attend a free demo class to experience our expert trainers and get all your queries answered.
Purchase This Course
♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
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.
