More dates

Payment plans

How does it work?

  • Reserve your order today and pay over time in regular, automatic payments.
  • You’ll receive your tickets and items once the final payment is complete.
  • No credit checks or third-party accounts - just simple, secure, automatic payments using your saved card.

Python Essentials for Data Analysts: 1 Day Course in Auckland

Share
 · 
125 Queen Street
Auckland, New Zealand
Add to calendar
 

Description

About This Course

  • Duration: 1 Full Day (8 Hours)

  • Delivery Mode: Classroom (In-Person)

  • Language: English

  • Credits: 8 PDUs / Training Hours

  • Certification: Course Completion Certificate

  • Refreshments: Lunch, snacks, and beverages will be provided

If you would like weekend training sessions, kindly reach out to us at info@mangates.com for availability and scheduling.


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.


©2026 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.

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: corporate@mangates.com

0 / 5

Gallery

Agenda

  • Module 1: Introduction to Python for Analytics

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

  • Module 2: Data Manipulation with Pandas

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

  • Module 3: Data Cleaning Techniques

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

  • Module 4: Data Visualization with Matplotlib

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

  • Module 5: Statistical Analysis in Python

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

  • Module 6: Excel and Database Integration

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

  • Module 7: Automating Reports

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

  • Module 8: Mini Project

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

FAQs

  • Do I need Python experience to join?


    Basic programming or Excel familiarity is helpful but not mandatory — we start from fundamentals.

  • Is this course useful for Excel users?


    Yes, it enhances Excel workflows and teaches you Python-based automation.

  • Do I need to install software before attending?


    Yes, setup guidance will be shared for Python, Pandas, and Jupyter.

  • Are real business datasets used?


    Yes, you'll work on data scenarios from domains like finance, sales, and research.

  • Will we perform statistical analysis?


    Yes, you’ll learn common statistical techniques used in business analytics.

  • Can I automate reports after this course?


    Absolutely, you’ll be able to generate and email automated reports.

  • Is this course suitable for finance professionals?


    Yes, it's ideal for anyone handling data for analysis or reporting.

  • What tools will we use?


    Primarily Python, Pandas, Matplotlib, and optionally SQL databases.

  • Do I get a certificate?


    Yes, you will receive a course completion certificate.

  • Can this course be customized for corporate teams?


    Yes, we offer personalized content and datasets for organizations.

Powered by

Tickets for good, not greed Humanitix dedicates 100% of profits from booking fees to charity

Get tickets

Get tickets

Get tickets

Get tickets

125 Queen Street
Auckland, New Zealand
Host icon
Hosted by Mangates

More events from this host