Python Foundations before Data Science with Sam Faraday

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Last updated on April 29, 2024 12:24 am

Learn Python Foundations, Data Science, Exploratory Data Analysis, and Data Visualization. Master the art of uncovering insights and trends hidden behind data with this comprehensive course. Perfect for beginners or experienced developers looking to make the jump to Data Science!

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What you’ll learn

  • Learn Python Foundations before Data Science
  • Exploratory Data Analysis
  • Data Visualization
  • How to use Matplotlib to visually analyse data
  • How to use Pandas for Data Visualization and Preprocessing
  • Linux Main FIle and Directory Operations
  • Main operations of Dataframes with Pandas

Welcome to this Course. The initial path to becoming a Data Scientist.

“Data Science is a process, not an event. It is the process of using data to understand different things, to understand the world.” — “Data science is the art of uncovering the insights and trends that are hiding behind data. It’s when you translate data into a story. (IBM)

  • This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations

  • This course is designed for both complete beginners or experienced developers looking to make the jump to Data Science!

  • We’ll teach you how to program with Python, how to create amazing data visualizations

  • Programming with Python from its Foundational Concepts

  • Learn how to work with WGET to download files

  • Linux basic files and folders operations like listing, naming e moving files

  • Using NumPy with Python for Data Transformation and Processing Speed

  • Using Pandas Data Frames for Explanatory Data Anaalysis,pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. You are going to lear advaned techiniques to work with index, concatenations, filters, aggregation functions, memory optimization, data frame saving in different files formats like cvs, thml and pickle

  • Working with Matplotlib for Data Visualizations

  • No previous computer development experience is required.

  • This is a must have skill before you jump into Machine Learning techiniques

Who this course is for:

  • Anyone curious about Data Science
  • Business People who need to Analyse Data
  • Beginner Python Developer

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    Python Foundations before Data Science with Sam Faraday
    Python Foundations before Data Science with Sam Faraday
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