Data Engineering Certification

Become A Data Engineering

4.50 (34 reviews)
Udemy
platform
English
language
Other
category
Data Engineering Certification
138
students
7.5 hours
content
Jan 2023
last update
$59.99
regular price

What you will learn

How To Design A Database

How To Install MySQL

Steps To Design A Simple Data base

Understand the difference between Data / Database and DBMS

Fundamentals of cloud computing

DP-203 : Data Engineering on Microsoft Azure Part 1

How to Use Microsoft Excel For Data Analysis

How To Design Dashboards Using Power BI

Introduction To Python & Jupyter Notebook

Numpy: Data science and analysis Using Python 1

Description

Data Engineer Technical Skills

To become a data engineer, you should be very good at SQL, and you should know those  programming languages used for statistical modeling and data analysis. Also you should know, how to design a data warehousing solutions, and how to build data pipelines.

Database design:

You should know SQL. SQL is the standard programming language for building and managing relational database systems.

Data warehousing solutions:

ETL tools.:

In computing, extract, transform, load (ETL) is the general procedure of copying data from one or more sources into a destination system which represents the data differently from the source(s) or in a different context than the source(s). The ETL process became a popular concept in the 1970s and is often used in data warehousing.

Data extraction involves extracting data from homogeneous or heterogeneous sources; data transformation processes data by data cleaning and transforming them into a proper storage format/structure for the purposes of querying and analysis; finally, data loading describes the insertion of data into the final target database such as an operational data store, a data mart, data lake or a data warehouse

Machine learning:

Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data.  It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so.  Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks


Content

Introduction

Introduction

Data & Database Design

What is Data ?
What is Database ?
What is DBMS?

MySQL

Install MySQL

How To Design a Data Base

Database Design Part 1

Summary

What we learn from this course?

Reviews

Thembinkosi
November 27, 2022
The course is so excellent. It opened so many doors for me in as far as Data Engineering is concerned.

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4135432
udemy ID
6/20/2021
course created date
7/13/2021
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