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Outline Comparison

Compare Data Science Outlines

Use this page to make the scope differences visible before the client confirms a shorter outline. It helps position each program by delivery depth, focus, and expected coverage.

2 Outlines Available

Compare scope, delivery depth, and audience fit before choosing the outline that best matches the training requirement.

Angular Data Science Laravel

Focused accelerated coverage

Data Science using Python - 3 Days

Move from spreadsheet-heavy work to practical Python analytics through a focused 3-day program covering Python foundations, pandas mastery, and business-ready data analysis and visualization.

Duration 3 Days
Delivery Depth Focused accelerated coverage
Best Fit Teams that need a shorter Laravel delivery plan with strong foundations and compressed practical coverage.
Audience Excel users, business analysts, aspiring data analysts, operations staff, reporting professionals, and anyone who wants to perform stronger data analysis using Python.
Prerequisites There are no formal prerequisites required to attend this course, although basic computer literacy and familiarity with spreadsheet-based work will be helpful.
Days 3
Main Topics 18

Included Topics

  • Introduction to Python for Data Work
  • Python Syntax, Variables, and Data Types
  • Control Structures and Program Flow
  • Python Data Structures for Analysis
  • Functions, Modules, and Reusable Analysis Logic
  • NumPy Foundations for Numerical Data
  • Introduction to pandas and Why It Matters
  • pandas Series Fundamentals
  • DataFrame Creation and Structure
  • Selecting, Filtering, and Transforming DataFrames
  • Data Cleaning with pandas
  • Aggregation, Grouping, and Reshaping
  • Working Beyond Excel with pandas
  • Exploratory Data Analysis for Business Decisions
  • Numerical Data Analysis
  • Text Data Analysis and Sentiment Analysis
  • Data Visualization with Matplotlib and Seaborn
  • Turning Analysis into Productivity and Business Improvement
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Broader accelerated coverage

Data Science using Python - 5 Days

Build end-to-end data science capability with Python through a practical 5-day program covering data collection, pandas, analysis, visualization, pipelines, and business-ready reporting outputs.

Duration 5 Days
Delivery Depth Broader accelerated coverage
Best Fit Developers who need broader end-to-end Laravel coverage from foundations to delivery and deployment.
Audience Excel users, business analysts, aspiring data analysts, reporting professionals, developers moving into analytics, and teams building practical data workflows with Python.
Prerequisites There are no formal prerequisites required to attend this course, although basic computer literacy and familiarity with spreadsheet-based work will be helpful.
Days 5
Main Topics 27

Included Topics

  • Introduction to Python for Data Work
  • Python Syntax, Variables, and Data Types
  • Control Structures and Program Flow
  • Python Data Structures for Analysis
  • Functions, Modules, and Reusable Analysis Logic
  • Data Collection Fundamentals
  • Working with SQL Data Sources
  • Working with NoSQL Data Sources
  • Collecting Data from APIs
  • Building a Simple Data Pipeline
  • NumPy Foundations for Numerical Data
  • Introduction to pandas and Why It Matters
  • pandas Series Fundamentals
  • DataFrame Creation and Structure
  • Data Cleaning with pandas
  • Selecting, Filtering, and Transforming DataFrames
  • Aggregation, Grouping, and Reshaping
  • Exploratory Data Analysis for Business Decisions
  • Numerical Data Analysis
  • Text Data Analysis and Sentiment Analysis
  • Data Visualization with Matplotlib and Seaborn
  • Turning Analysis into Productivity and Business Improvement
  • Reporting Output Design
  • Publishing Analytical Results to Web Reports
  • Dashboard Fundamentals
  • Building a Simple Python-Driven Reporting View
  • Final Capstone Project
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