TOP 10 BIG DATA ANALYTICS COURSES IN CANADA - PAGE 3

This Data Analytics Bootcamp is an intensive learning program designed to equip learners with the skills and knowledge required to kick start a career in data analytics.

Enroll for our 1-day Introduction to Power BI from Koenig Solutions. In this course you will learn how you can leverage Power BI to easily build reports and dashboards with interactive visualizations.

Voisap’s extensive Big Data Analytics certification is curated by Hadoop experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig.

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.

The main focus of the Big Data Analytics course is to assist individuals to gain crucial skills that can help in analyzing, processing, and storing large amounts of data so that relevant business decisions could be performed.

Data analytics is critical in almost all industries, from business and finance to government and healthcare. This is driving the need for people who can analyze and integrate data into business decision-making.

This Power BI training course is packed with hands-on labs to reinforce class topics and provide you with the skills to successfully create impressive dashboards, reports, and other business intelligence solutions.

Our brand-new Data and Web Analytics Micro-Credential by the Digital Marketing Institute is tailor-made for those who are already analytically-minded or working in a position as such and are eager to upgrade their skills for an ever-evolving digital world.

Start by learning how to acquire data, transform the data, create data models, visualize data, and share assets in Power BI. You will then learn advanced Power BI skills, including the management of data repositories and data processing in the cloud and on-premises.

This program equips you with the fundamental knowledge of applied data science, the analytics process, analytics problem framing, data preparation, visualization, and predictive modelling.