100% Discount || Data Analysis with Pandas, NumPy and PostgreSQL -Masterclass

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Data Analysis with Pandas, NumPy and PostgreSQL -Masterclass

Requirements

  • Basic Python

Description

***** Enrol now in the most comprehensive and up-to-date (Nov 2022) course available for the Data Analysis with Pandas, NumPy and PostgreSQL Concepts! *****

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

 

Who this course is for:

  • Students and professionals with little Numpy experience who plan to learn deep learning and machine learning later
  • Students and professionals who have tried machine learning and data science but are having trouble putting the ideas down in code
  • 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 more about SQL, PostgreSQL, or basic data analysis!
  • Anyone who wants to learn about database and data management systems


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