Python Essentials for Data Science: 1 Day Session in Cambridge

1. Groups of three or more receive a 10% discount

2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.

Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included

Course Overview:

The Python for Data Analyst course helps you harness the power of Python for statistical analysis, reporting, and automation. Designed for analysts and business professionals, it introduces tools like Pandas for data manipulation, Matplotlib for visualization, and techniques for integrating with Excel or databases. This hands-on course transforms how you automate reporting, create dashboards, and derive business insights from data.

Learning Objectives:

By the end of this course, you will:

• Manipulate and analyze data efficiently using Pandas
• Visualize key business metrics with Matplotlib
• Apply statistical methods to find trends and patterns
• Automate repetitive data tasks using Python scripts
• Integrate Python outputs into Excel and database environments
• Build ready-to-execute analysis workflows for business use

Target Audience:

Data analysts, business analysts, finance professionals, and researchers.

Why is it the Right Fit for You?

If you're involved in data-driven decision-making, this course empowers you to work smarter using Python. With a focus on real-world applications, we teach you practical skills — from transforming raw data to automating reports — that help optimize business processes. Our hands-on format ensures you learn by doing, while our industry expert trainers guide you through common challenges and scenarios encountered in business analytics. This course bridges the gap between Excel and advanced analytics tools, helping you elevate your skills and value as an analyst.

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Do you want to equip your team with advanced data analytics skills?

We offer in-house Python for Data Analyst training that can be customized to your business processes, data formats, and reporting needs. Curious how Python can streamline your team's workflows and insights? Let us build a tailor-made learning experience for your organization.

📧 Contact us today to schedule a customized in-house session: [email protected]

Info: • Understanding Python in the analytics ecosystem
• Setting up Jupyter Notebook or VS Code
• Overview of key libraries for analysis
• Activity

Info: • Working with DataFrame and Series
• Importing and exporting data from CSV, Excel, SQL
• Filtering, sorting, and merging data
• Activity

Info: • Handling missing values and duplicates
• Text and date transformations
• Data type conversions and standardization
• Activity

Info: • Creating line, bar, pie, and scatter plots
• Customizing plot styles, labels, and legends
• Comparing datasets visually
• Activity

Info: • Descriptive statistics and summary functions
• Correlation and distribution analysis
• Using SciPy for hypothesis testing
• Case Study

Info: • Reading and writing Excel files
• Connecting to SQL databases
• Automating workflows with Python scripts
• Activity

Info: • Generating daily/weekly reports with code
• Exporting visuals and data summaries
• Emailing or saving outputs automatically
• Activity

Info: • Clean, analyze, and visualize a real dataset
• Create a Python-based automated report
• Present insights and code
• Activity

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