The Ultimate Pandas and PostgreSQL Bootcamp - Data Analysis

The Ultimate Pandas and PostgreSQL Bootcamp – Data Analysis

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What you’ll learn:
  • You will be able to program in Python professionally
  • Be able to use Python for data science and machine learning
  • You will be able to use Python for your own work problems or personal projects.
  • Importing and creating data frame in python
  • Learn everything there is to know about pandas – from absolute scratch!
  • Perform a multitude of data operations in Python’s popular pandas library including grouping, pivoting, joining and more!
  • Create your own database or interact with existing databases
  • You will write basic to advance PostgreSQL queries
  • Troubleshoot everyday PostgreSQL database related issues
  • Have a detailed knowledge and understanding of using PostgreSQL, one of the most widely used databases in the world.
Description:

About the Instructor.

This course is led by Aditya Dhandi – an international trainer, consultant, and data analyst with over 100 000 enrollments on Udemy. Aditya specializes in teaching data analysis techniques, Excel Pivot Tables, Power Pivot, Microsoft Power BI, & Google Data Studio & his courses average 4+ stars out of 5.

He’s also the founder of the popular website, Jobshie.

Why learn pandas?

If you’ve spent time in a spreadsheet software like MS Excel or Google Sheets and want to take your data analysis skills to the next level, this course is for you!

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python.

Pandas is the most powerful and flexible open source data analysis/manipulation tool available in any language.

pandas is well suited for many different kinds of data:

  • Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet
  • Ordered and unordered (not necessarily fixed-frequency) time series data.
  • Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels
  • Any other form of observational / statistical data sets. The data need not be labeled at all to be placed into a pandas data structure

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Key Features:

Video Lectures: Learn the best ways to learn Pandas and PostgreSQL

Course Certificate: Complete the course and show off your skills with the course certificate.

Learn from experts: Your expert instructor will teach you Pandas and PostgreSQL skills you can apply immediately.

Full Excess: There is no time limit, so take the course at your own pace and retake lessons as you need.

Use any Device: Join the course using any modern browser on your phone, tablet and computer.

Ask Question: Ask questions and share ideas with other students in the course community.

What’s included?

  • High quality video lessons to build your knowledge and skills.
  • Guided walk-throughs with techniques and tips.
  • 14 pre-built dashboards you can use and customize.
  • Practical exercises to apply your skills.
  • Quizzes to reinforce learnings and test your knowledge.
  • Private discussion area where you can ask questions.
  • Course certificate for completing the lessons and assignment.
  • Full access lets you review lessons whenever you need.
  • Updates when lessons in the course are refreshed.
Who this course is for:
  • Students and professionals who wants to do data analysis using python.
  • Python developer who wants to do analysis of tabular data.
  • Anyone interested in learning about SQL, PostgreSQL, or basic data analysis!
  • Anyone who wants to learn about database and data management systems

Enroll Now -:

Free 12800 100% off

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