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Data Engineering And Data Analysis Master Course ഡാറ്റ എഞ്ചി
20 students

Data Engineering And Data Analysis Master Course ഡാറ്റ എഞ്ചി

ഈ ഡാറ്റ എഞ്ചിനീയറിംഗ് കോഴ്സ് ഡാറ്റാ സയൻസിൽ മാസ്റ്റർ ആകാൻ നിങ്ങളെ സഹായിക്കുന്നു
Created byStep2c Learning
Last updated 6/2025
Malayalam

What you'll learn

  • ഡാറ്റാ സയൻസിന്റെ അടിസ്ഥാന വിശദാംശങ്ങൾ
  • Basics Of Data Science
  • Basics Of Data Analysis
  • Basics Of ETL Technology
  • Basics Of Data Base Development
  • Basics Of Database Design
  • ഡാറ്റ വിശകലനത്തിന്റെ അടിസ്ഥാന വിശദാംശങ്ങൾ
  • Design relational databases with multiple tables
  • Use SQL (MySQL) to query, manipulate, and manage databases
  • Write complex queries with Joins, Group By, Having, and Subqueries
  • Perform data analysis in Excel with formulas, pivot tables
  • Use Python libraries like Pandas and Numpy to analyze data efficiently
  • Scrape real-time data from Flipkart and Amazon using Python
  • Understand the basics of Cloud Computing and connect Power BI to databases
  • Prepare for SQL interviews with curated real-world Q&A sessions

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

See a demo
Image of coding exercise example

Course content

21 sections72 lectures11h 46m total length
  • Roles Of Software Engineer9:22

Requirements

  • You should know Malayalam
  • Should have internet connection to watch this videos
  • നിങ്ങൾ മലയാളത്തെ അറിയണം
  • ഈ വീഡിയോകൾ കാണുന്നതിന് ഇന്റർനെറ്റ് കണക്ഷൻ ഉണ്ടായിരിക്കണം
  • No programming experience required – everything is taught from scratch
  • Willingness to practice hands-on coding and data analysis

Description

ഈ കോഴ്‌സിൽ, നമ്മൾ വളരെ പ്രധാനപ്പെട്ട സോഫ്റ്റ്‌വെയർ നിർമ്മാണ സാങ്കേതികവിദ്യകൾ പഠിക്കാൻ പോകുന്നു.


  1. ഡാറ്റ എന്താണെന്ന് നിങ്ങൾ പഠിക്കും

  2. ഏതാണ് ലഭ്യമായത് ഡാറ്റാബേസ്

  3. ഡാറ്റാബേസ് എങ്ങനെ രൂപകൽപ്പന ചെയ്യാം

  4. ETL എങ്ങനെ രൂപകൽപ്പന ചെയ്യാം

  5. ഡാഷ്‌ബോർഡ് എങ്ങനെ സൃഷ്‌ടിക്കാം

  6. ഡാറ്റ സയൻസ് എങ്ങനെ പഠിക്കാം


In this course we are trying to teach some of the very important database/ data analysis tools and technology for engineering students.

We will try to cover

  • What is data?

  • What is database?

  • What is Database management systems?

  • What is ETL?

  • What is Data visualization

  • How to create dashboards

  • What is data science 


By the end of this course you will be able to download and install MySQL, MYSQL workbench, MySQL Shell. MySQL is an open-source relational database management system (RDBMS).  So by the end of this course, you will be bale to create a database and tables using Mysql.  MySQL  is a combination of "My", the name of co-founder Michael Widenius's daughter, and "SQL", the abbreviation for Structured Query Language. A relational database organizes data into one or more data tables in which data types may be related to each other. these relations help structure the data. SQL is a language programmers use to create, modify and extract data from the relational database, as well as control user access to the database.


MySQL Workbench is a visual database design tool that integrates SQL development, administration, database design, creation and maintenance into a single integrated development environment for the MySQL database system. It is the successor to DB Designer 4 from fab FORCE dot net, and replaces the previous package of software, MySQL GUI Tools Bundle.


MySQL Shell is an advanced client and code editor for MySQL.


MySQL has stand-alone clients that allow users to interact directly with a MySQL database using SQL, but more often, MySQL is used with other programs to implement applications that need relational database capability. MySQL was created by a Swedish company, MySQL AB, founded by Swedes David Axmark


This all-in-one course is your complete beginner-to-intermediate guide to essential data tools and techniques. Learn how to design relational databases, write SQL queries, manipulate and analyze data with Excel and Python, perform web scraping projects, and even connect your data to visualization tools like Power BI.

Perfect for students, analysts, and professionals looking to gain practical, job-ready data skills—no prior experience required!

From creating databases and querying data using MySQL, to analyzing and cleaning data with Pandas and Numpy, and even extracting real-time data from websites like Amazon and Flipkart, this course gives you hands-on experience across the data stack.

Who this course is for:

  • Any student who want to become a software engineer
  • Any student who want to become data engineer/data scientists
  • ഒരു സോഫ്റ്റ്വെയർ എഞ്ചിനീയറാകാൻ ആഗ്രഹിക്കുന്ന ഏതൊരു വിദ്യാർത്ഥിയും
  • കമ്പ്യൂട്ടർ എഞ്ചിനീയറിംഗ് പഠിക്കാൻ ആഗ്രഹിക്കുന്ന എല്ലാ ഡിഗ്രി അല്ലെങ്കിൽ ഡിപ്ലോമ വിദ്യാർത്ഥികളും
  • കമ്പ്യൂട്ടർ എഞ്ചിനീയറിംഗ് പഠിക്കാൻ ആഗ്രഹിക്കുന്ന ബി-ടെക് വിദ്യാർത്ഥികൾ
  • Beginners and non-programmers who want to break into data roles
  • Students in engineering, business, or computer science
  • Professionals seeking to enhance their data analysis skills
  • Anyone preparing for SQL-based job interviews
  • Aspiring Data Analysts, Data Engineers, or Business Analysts