Data Analytics

Rs 19999

2024-12-31
37days remaining.

Data Analytics Engineer

In the era of big data, the world is producing more information than it can consume

 Users share 240,000 photos on Facebook
 People submit 5.7 million queries to Google
 6 million customers make an online purchase
 Viewers stream a cumulative 425,000 hours of Netflix

Data analytics is a rapidly developing field. Data analysts are in high demand across many industries, as more businesses focus on a data-driven approach. Whether it’s in finance, education, or manufacturing, the ability to understand and interpret data is sought-after.

A data analyst is usually the person who can do basic descriptive statistics, visualize data, and communicate data points for conclusions. They must have a basic understanding of statistics, a perfect sense of databases, the ability to create new views, and the perception to visualize the data. Data analytics can be referred to as the necessary level of data science.

Skills Required to Become a Data Analyst

 Knowledge of mathematical statistics
 Fluent understanding of R and Python
 Data Wrangling Understand PIG/ HIVE

What will you learn in Analytics Engineer Skills?
 Learn all the skill sets that is required to become an Analytics Engineer
 In-depth understanding of data modelling techniques
 Ability to participate in architectural decision making and be able to create one
 Data modelling techniques using DBT
 Learn hands-on skills required to build a Data Warehouse from scratch
 Boost your resume with most in-demand Analytics Engineer skills
 Design & Implement a Data Warehouse
 Create Data Warehouse Architecture
 Design Conceptual, Logical & Physical Models
 Learn various modelling methodologies (Inmon, Kimball, Data Vault, OBT)
 Apply principles of dimensional data modeling in a hands-on
 Learn all the concepts and terms such as the OLTP, OLAP, Facts, Dimensions, StarSchema, Snowflake Schema.