Menu
close
Apply Now
Contact

Professional Academy Diploma In Data Analytics using Python Course

Awarded By
Dorset College Dublin
Duration
11 Weeks
Timetable
Wednesday: 18.30-21.30
Start Date
26/03/25 - 04/06/25
Delivery
100% Live Online Classes
Fees
€1095 - 20% Discount: €875
Deposit: €150.00

Black Friday Special Offer: Course Price €875.  Get 20% off the normal €1095 fee.  Flexible installment payment plans are available.  Apply Online!

Why Study Data Analytics Course at Dorset College Dublin:

This Data Analytics programme equips learners with modern analytical skills to analyse data trends, execute data-driven strategies, and generate actionable business intelligence, driving improved operations and informed decision-making in day-to-day business.

The Professional Academy Diploma in Data Analytics Course is designed for individuals looking to build strong data analysis skills. This course is particularly suited for business professionals and aspiring data analysts aiming to interpret data, extract insights, and make data-driven decisions. With advanced technologies driving exponential data growth, businesses and organisations now have unprecedented opportunities to harness insights, streamline decision-making, and foster innovation and growth.  This comprehensive 11-week part-time online course is tailored to enhance your data analytics expertise.

Live expert-led data analytics training includes: Master core data analysis skills such as data collection, cleaning, visualisation, statistical analysis, and predictive modeling.  Designed for those aspiring to excel in predictive analytics, this program provides you with the expertise needed to thrive in the dynamic field of data science.  

The average Data Analyst salary in Ireland is €47,000 per year. Entry level positions start at €35,000 per year while more experienced analysts make up to €55,000 per year. 

Download Brochure

Upon successful completion learners will have the key skills:

  • Understand key concepts and the data lifecycle.
  • Learn methods for sourcing and preparing data.
  • Clean and format data to ensure accuracy.
  • Manipulate data using Excel, Python, and SQL.
  • Summarise data with measures of central tendency and variability.
  • Present insights through charts and graphs.
  • Identify patterns and relationships in data.
  • Validate findings with statistical methods.
  • Use clustering and time series for deeper analysis.
  • Analyse relationships and make predictions.
  • Apply classification methods for categorising and predicting.
  • Use insights to improve processes and support decision-making.

Introduction & Python Essentials

Week 1: Introduction to Data Analytics and Programming Fundamentals

  • Overview of data analytics, applications, and programming basics
  • Introduction to Python setup and basic syntax

Week 2: Python Programming Essentials

  • Variables, data types, basic input/output, control flow (conditionals and loops)
  • Intro to procedural programming with Python

Python Functions & OOP

Week 3: Procedural Programming and Functions in Python

  • Functions, modular coding, and best practices in procedural programming
  • Hands-on exercises for organising Python code

Week 4: Object-Oriented Programming (OOP) in Python

  • Core OOP concepts: classes, objects, attributes, and methods
  • Implementing basic OOP in Python with practical examples

AI & Data Analysis

Week 5: Integrating AI into Python with ChatGPT

  • Leveraging AI for coding support and troubleshooting
  • Using ChatGPT for programming assistance and idea generation

Week 6: Data Analysis with NumPy

  • Introduction to the NumPy library for numerical data handling
  • Working with arrays, basic computations, and data manipulation

Data Manipulation & Visualisation

Week 7: Data Manipulation with Pandas

  • Understanding DataFrames, data filtering, sorting, and cleaning
  • Practical exercises for transforming datasets with Pandas

Week 8: Data Visualiation with Matplotlsib and Seaborn Basics

  • Basics of Matplotlib for creating and customizing visualisations
  • Intro to Seaborn for statistical plots like histograms and heatmaps

Data Importing, Filtering, and Exporting

Week 9: Data Importing, Filtering, and Exporting

  • Importing data from CSV and Excel, filtering and transforming data
  • Exporting cleaned and manipulated data to various formats

Week 10: Presenting Data in Tabular and Graphical Formats

  • Formatting data for reports, creating clear tables, and compelling visuals
  • Best practices for presenting data to stakeholders

Analysis & Reporting

Week 11: Data Analysis and Reporting with Jupyter Notebooks

  • Using Jupyter Notebooks for data analysis, visualisation, and reporting
  • Final project: Complete a data analysis project in Jupyter Notebook, integrating skills in data import, manipulation, and visualisation

Live Online Classes:

Data Analytics Classes at Dorset College Dublin are now 100% Online: You can now up-skill or re-skill from the comfort of your own home with expert led industry experienced lecturers who will provide you with inspirational lectures and all support materials you need to achieve your goals.

Aims & Objectives

This aim of this course is to develop a solid understanding of data analytics and business intelligence for learners from non-IT and non-technical backgrounds, to equip the learner with essential skills for the entire data analysis process, from problem formulation to data collection, cleaning, analysis, visualization, and interpretation. Learners develop critical thinking and problem-solving abilities to apply data-driven solutions across various fields. The course emphasizes effective communication, enabling clear presentation of insights to technical and non-technical audiences through compelling visualizations and reports.

Career Opportunities

Employers in the IT Industry demand continuous professional development from candidates that shows they are willing to expand their portfolio of qualifications in an ever evolving industry.  Taking a data science with Python course opens numerous career opportunities, including roles as a data analyst, business analyst, data scientist, or machine learning engineer. The course equips you with in-demand skills like problem-solving, programming, statistical analysis, and data communication. These skills are applicable across various industries such as finance, marketing, and healthcare, making it a versatile and valuable qualification for advancing your career.  Python is among the most sought-after skills by employers.  Data Analyst Salary:  The average Data Analyst salary in Ireland is €47,000 per year. Entry level positions start at €35,000 per year while more experienced developers make up to €55,000 per year.

Assessment & Award

Assessment is continuous throughout the programme and consists of a personal project, & assignments.

  • A project (100%) designed to showcase your ability to use Data Analytics with Python.

Upon successful completion of the Data Analytics Course, you will receive Data Analytics:

  • A Diploma In Data Analytics Course Using Python from Dorset College Dublin

Learning Outcomes

By the end, students will identify different data types, select appropriate analysis techniques, perform exploratory data analysis, create visualizations, conduct hypothesis testing, and apply these skills to real-world data.

  • Mastering data science involves understanding different data types (quantitative, qualitative, structured, unstructured), identifying relevant data sources, and evaluating data quality for biases.
  • Data preparation skills include cleaning, transforming, and structuring data for analysis.
  • Exploratory analysis covers calculating descriptive statistics and creating visualizations (histograms, scatterplots, box plots) to explore data distributions and relationships.
  • Hypothesis testing involves formulating and testing hypotheses, conducting basic statistical tests (t-tests, correlation analysis), and interpreting results.
  • Effective communication skills are essential for selecting appropriate visualizations, explaining analysis results to non-technical audiences, and creating concise, informative reports.

Payment Plan

To secure a place on this course a non-refundable deposit of €150 applies.

Flexible payment plans available. 

Deposit secures your place on the course €150.00
1st Instalment: 18/04/2025 €362.50
2nd Instalment: 22/05/2025 €362.50

Related Courses

APPLY NOW
Top