Python for Data Science Course

Python for Data Science Course

Python for Data Science Course

Python for Data Science Course Singapore will help you learn the basics of python for data science such as data preprocessing, data visualization, statistics, making machine learning models, and much more through examples. This python for data science program will help both beginners as well as trained professionals in mastering python programming with data science

About Python programming for Data Science Course

  • Prerequisites – Knowledge of Python basics and familiarity with Intermediate Python.
  • Learning Web Development the way experts recommend it.
  • You get to learn from experts with industry experience.
  • You get exposure to the best practices followed in Web Development.
  • Both online and classroom modes are offered.
  • SkillsFuture approved course.
  • We focus on practical training that stays with you long after the course ends.
  • The course teaches you web development using Django and Flask.

Course Prerequisites

Basic Python knowledge is not necessary but recommended before joining this course. If you are new to programming, you may take our Basic Python Programming Course for beginners singapore.

Benefits of Taking Python Data Science Course

  • The Python with Data Science course will cover all the concepts to get you started.
  • Hands-on practice during the class.
  • The curriculum is planned by industry specialists with years of experience.
  • Enduring your career with the data science course.
  • One of the highest paying job profiles.

Python Data Science Course Key Takeaways

  • After finishing the Data Science Course, you will be able to extract the insights that data has to offer.
  • Study material curated by Industry experts.
  • Certification on successful completion of course.

Python for Data Science Course Outline

Topic 1: Setting Up A Python Data Science Environment

  • Select Python Data Science Tools
  • Install Python Using Anaconda
  • Set Up an Environment Using Jupyter Notebook

Topic 2: Managing And Analyzing Data With NumPy

  • Create NumPy Arrays
  • Load and Save NumPy Data
  • Analyze Data in NumPy Arrays

Topic 3: Transforming Data With NumPy

  • Manipulate Data in NumPy Arrays
  • Modify Data in NumPy Arrays

Topic 4: Managing And Analyzing Data With Pandas

  • Create Series and DataFrames
  • Load and Save pandas Data
  • Analyze Data in DataFrames
  • Slice and Filter Data in DataFrames

Topic 5: Transforming And Visualizing Data With Pandas

  • Manipulate Data in DataFrames
  • Modify Data in DataFrames
  • Plot DataFrame Data

Topic 6: Visualizing Data With Matplotlib And Seaborn

  • Create and Save Simple Line Plots
  • Create Subplots
  • Create Common Types of Plots
  • Format Plots
  • Streamline Plotting with Seaborn