Course Code: pythonanalyzeintegrate
Duration: 35 hours
Prerequisites:
  • Basic programming knowledge

Audience

  • Analysts
  • Administrative staffs
  • IT professionals
Overview:

Python is a high-level, general-purpose programming language known for its readability, simplicity, and versatility.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to develop essential Python programming skills for data analysis, process automation, and system integration.

By the end of this training, participants will be able to:

  • Develop foundational and advanced skills in Python programming.
  • Learn how to perform data analysis and visualization (dashboards).
  • Automate repetitive tasks using Python scripting.
  • Integrate Python with external platforms like Power BI, SQL, and Excel.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction to Python Programming

  • Setting up the development environment (Jupyter Notebooks, IDEs)
  • Python syntax, variables, and data types
  • Control structures: Loops, conditionals, and functions
  • Introduction to Python libraries: NumPy, Pandas, Matplotlib

Data Analysis and Visualization

  • Data wrangling: Cleaning, filtering, and transforming data (using Pandas)
  • Aggregating and summarizing data
  • Data visualization: Line plots, bar graphs, pie charts, histograms (using Matplotlib and Seaborn)
  • Dashboards with Plotly/Dash: Building dynamic dashboards

Process Automation with Python Scripts

  • Automating tasks: File renaming, email automation, and web scraping
  • Database integration: Connecting Python to SQL, MySQL, and SQLite
  • Automating data extraction and updates with APIs (e.g., Google Sheets, REST APIs)
  • Error handling: Best practices for reliable automation scripts

Advanced Data Integration and Analysis Tools

  • Power BI integration: Using Python to analyze and feed data into Power BI
  • Excel integration: Automating Excel tasks with openpyxl and pandas
  • Introduction to ML with Python: Building basic classifiers using scikit-learn
  • Creating data pipelines with ETL operations

Final Project and Practical Applications

  • Group project: Developing a Python automation or visualization solution relevant to LNBR’s domain
  • Code reviews and feedback sessions
  • Certification exam and assessment
  • Discussion on security best practices in Python applications

Summary and Next Steps