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Data Science with Python – Journey from Beginner to Expert

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About Course

Data science is a constantly developing field that analyses large amounts of complicated data using scientific methods and algorithms. To gather and analyse data, data scientists employ a variety of programming languages, including Python and R. In this course, we will be focusing on the concepts of Data Science with the help of Python programming language. After completing this Data Science with Python course, you will have a deep understanding of data analytics tools and processes.

What Will You Learn?

  • Manipulating and transforming data efficiently.
  • Analysing and exploring data for insights.
  • Creating visual representations of data to aid understanding.
  • Applying mathematical concepts and algorithms for computational tasks.
  • Extracting valuable information from web data sources.
  • Using Python to formulate and test hypotheses.
  • Leveraging powerful numerical computing and scientific computing libraries.
  • Utilising Scikit-learn for processing and analyzing text data.

Course Content

Getting Started

  • Introduction of the course.
    06:47
  • What is Data Science?
    00:00
  • Importance of Python for Data Science.
    00:00
  • The Jupyter Notebook system.
    00:00
  • Functions in Python.
    00:00
  • Types and sequences of Python.
    00:00
  • Strings in Python.
    00:00
  • Demonstration of Python CSV file reading and writing.
    00:00
  • Python time and date.
    00:00
  • map() in advanced Python objects.
    00:00
  • Python lambda and list comprehensions at a high level.
    00:00
  • Python numerical library (numpy).
    00:00
  • Regular expression and Text manipulation.
    00:00

Fundamentals of Data Processing with Pandas

Additional Pandas Data Processing

Answering Questions with Messy Data

Course Completion Quiz

Student Ratings & Reviews

4.0
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3 years ago
I'm amazed at how much I learned in such a short time!
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