Data Science using Python training

Cybersecurity Training
  • Online (Microsoft Teams)
  • +971 562069465
  • This introductory Data Science course provides participants with essential skills for working with data, including data preprocessing, cleaning, exploration, and visualization. The course uses popular Python libraries such as NumPy, Pandas, and Matplotlib to teach fundamental concepts and techniques in data analysis.

  • By the end of this course, participants should be able to:

    • Understand the importance of data preprocessing and cleaning in data analysis.
    • Use NumPy for numerical data manipulation.
    • Use Pandas to load, clean, and explore tabular data.
    • Create informative visualizations of data using Matplotlib.
    • Learn about the model useable charts in data science.
  • Training will be conducted via Microsoft Team Meeting. Meeting invites will be shared on the day before the first day of training.

    • 3 days (18 hours)
    • Presentation Slides
    • Training Recordings
    • Study References
  • Upon successful completion of training, participants will receive a certificate.

  • This course is appropriate for a wide range of professionals but not limited to:

    • Individuals interested in entering the field of data science.
    • Data analysts or business professionals looking to enhance their data handling skills.
    • Anyone seeking to understand the basics of data preprocessing, cleaning, exploration, and visualization using Python.
  • Prerequisites

    • Participants should have a basic understanding of Python programming. Prior knowledge of Python fundamentals is recommended but not mandatory.
  • Participants can avail a discount of either an early bird or group discount whichever is higher with an additional discount when signing up for 2 or more courses.

    Group Discount (same company only)

    • 15% Discount for groups of 5 or more
    • 10% Discount for groups of 3-4

    Bundle Discount

    • Sign up for 2 courses and get an extra 10% off
    • Sign up for 3 courses and get an extra 15% off
how can we help you?

Contact us at the Velosi office nearest to you or submit a business inquiry online.

Fees + VAT as applicable

Tax Registration Number: 100442245500003

(including coffee breaks and a buffet lunch daily)

Course Outline

  • Module 1: Introduction to Data Science

    • What is data science?
    • The data science workflow.
    • Python for data science.
  • Module 2: NumPy for Data Manipulation

    • Introduction to NumPy.
    • NumPy arrays and operations.
    • Mathematical and statistical functions with NumPy.
  • Module 3: Data Cleaning

    • Identifying and handling outliers.
    • Dealing with duplicate data.
    • Data type conversion and formatting.
    • Handling missing data.
    • Data transformation and scaling.
  • Module 4: Data Exploration with Pandas

    • Introduction to Pandas.
    • Loading and inspecting data.
    • Basic data exploration with Pandas.
    • Data summarization and aggregation.
  • Module 5: Data Visualization with Matplotlib

    • Introduction to Matplotlib.
    • Creating line plots, scatter plots, bar charts, and histograms.
    • Customizing and enhancing visualizations.
  • Module 6: Data Transformation  (EDA)

    • Correlation analysis.
    • Label Encoders
    • One Hot encoder
    • Data normalization
    • Data Splitting