Getting Started with Data Management

Learn the basics of how organizations deal with data. Analyze data using Python and SQL. Explore Hadoop and Hive.
4.29 (1064 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Getting Started with Data Management
4 520
students
2.5 hours
content
Nov 2021
last update
$19.99
regular price

Why take this course?


Course Title: Getting Started with Data Management

Headline: Master the Basics of Data Management & Leverage Python, SQL, Hadoop, and Hive! 🚀📊

Unlock the Power of Data with This Comprehensive Course!


Course Description:

Dive into the World of Data Management

In an era where data is king, understanding how to harness its power can set you and your organization apart. With digital transformation at the forefront of business strategy, mastery over data governance and management is not just advantageous—it's essential.

What You’ll Learn:

  • The Importance of Data Management: Discover how robust data management underpins successful integration, analysis, and decision-making across an organization.

  • Data Governance: Explore the concept of Data Governance, why it's crucial for your business, and how to implement a governance program that drives value.

  • Python for Data Analysis: Get hands-on experience with Python, the programming language that's changing the way we analyze and interact with data. 🐍✨

  • SQL Fundamentals: Learn the Structured Query Language (SQL) basics to retrieve, update, and manage data within relational databases effectively.

  • Data Integration ETL: Understand the process of Extract, Transform, Load (ETL) through simple, yet effective, data integration practices. 🔄

  • Big Data Essentials with Hadoop and Hive: Venture into the world of Big Data by learning how to use Hadoop for distributed storage and Hive for querying large data sets in a simple SQL-like language.

Course Highlights:

  • Interactive Learning: Engage with real-world case studies, interactive quizzes, and hands-on projects that will help you apply what you learn.

  • Practical Skills: Acquire the skills needed to perform exploratory data analysis, database design, and maintain data integrity through quality control methods.

  • Future-Proof Your Career: Gain a competitive edge in the job market by learning the tools and techniques that are shaping the future of data management.

Who This Course Is For:

  • Aspiring Data Analysts and Engineers
  • Business Professionals looking to enhance their data competencies
  • IT Professionals seeking to understand data governance and management better
  • Anyone interested in exploring the world of Big Data with Hadoop and Hive

By completing this course, you will:

  • Understand the core disciplines within data management.
  • Learn how to leverage Python for basic data analysis tasks.
  • Grasp the fundamentals of database design and SQL queries.
  • Perform simple ETL processes to integrate different types of data.
  • Explore the capabilities of Big Data tools like Hadoop and Hive.
  • Gain insights into best practices in data quality, security, and governance.

Embark on your journey to becoming a data maestro today! 🌟💻


Course Outline:

  1. Introduction to Data Management

    • The role of data in the modern business landscape
    • Understanding the importance of data governance
  2. Python for Data Analysis

    • Python basics and environments setup
    • Introduction to data manipulation libraries (pandas)
    • Visualization with matplotlib or seaborn 📈
  3. SQL Fundamentals

    • Database concepts and relational database design
    • Writing and executing SQL queries
    • Data retrieval, insertion, updating, and deletion operations
  4. Data Integration ETL Processes

    • Understanding the ETL process flow
    • Extracting data from various sources
    • Transforming and loading data into a target system or database 🔄
  5. Big Data with Hadoop and Hive

    • Introduction to Hadoop architecture and its ecosystem
    • Setting up and using Apache Hive for querying Big Data in Hadoop
    • Understanding MapReduce, HBase, and other related components
  6. Data Quality and Governance

    • Ensuring data integrity and consistency
    • Implementing data quality standards
    • Data governance principles and best practices 🛡️

Join Philip Agababa on this insightful learning adventure and transform the way you manage, analyze, and leverage your organization's data! 📊🚀

Course Gallery

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4396968
udemy ID
14/11/2021
course created date
22/11/2021
course indexed date
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course submited by
Getting Started with Data Management - | Comidoc