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Professional Academy Diploma in Data Analytics using Python

Awarded By
Dorset College Dublin
Duration
11 Weeks
Timetable
Wednesday: 18.30-21.30 pm
Start Date
09/10/24 - 18/12/24
Delivery
100% Live Online Classes
Fees
€990.00 - 10% Discount = €890
Deposit: €150.00
Special Offer - Live Online Professional Academy Diploma in Data Analytics using Python Dorset College Dublin - Course Fee: €990.00 - Pay deposit before 1st August and get a 10% Discount - Fee €890.00 - Apply Online!

How does this Data Analytics Course benefit your career:

 

Do you want to enhance your professional development, leading to increased job opportunities, career advancement, and improved earning potential in the dynamic field of data analytics.

Expert Led Data Analytics Course at Dorset College Dublin. This course equips learners with the fundamentals in Data Analytics and with the knowledge and skills to extract trends, patterns and useful insights from data allowing them to make better use of resources, operations and bring organisations to the next level. This online Diploma in Data Analytics with Python course offers comprehensive and in-depth training in data analytics, tailored for individuals aiming to pursue careers in diverse industries.  Live expert-led Data Analytics training including the following:  Explore modern analytical skills, business intelligence, data trends and patterns, data analytics for non-IT backgrounds, predictive models, real-life data analytics examples, data analysis tools, enhance business operations with data, data literacy in business, analytical processes and methods, data types and sources, future developments in data analytics, data analytics assignments, practical data analytics skills, group and individual assignments, problem-solving in data analytics, presentation skills in data analytics, report writing in data analytics, analytical skills development and industry best practices.

Upon completion of this course, learners will be able to:

  • Understand the basics of Data Analysis
  • Prepare data for analysis
  • Apply descriptive statistics
  • Create effective data visualizations
  • Perform exploratory data analysis (EDA)
  • Conduct hypothesis testing
  • Apply advanced analysis techniques I
  • Conduct regression analysis
  • Understand and apply classification techniques
  • Apply advanced analysis techniques II
  • Communicate data analysis results effectively

Over 11 weeks, participants will master essential skills and techniques using Python libraries such as Pandas, NumPy, and Matplotlib. The course includes hands-on exercises and real-world projects to enhance your ability to analyse and visualise data effectively. Designed for both beginners and experienced analysts, this program equips you with the knowledge and confidence to uncover valuable insights, make data-driven decisions, and advance your career in the rapidly evolving field of data analytics.  Data Analytics Course Modules are as follows:

What learning experience will this course offer you:

On the Data Analytics Course you will learn core Data Analysis techniques and technologies from industry-experienced professionals and tap into the expanding field of Data Analytics . This comprehensive program provides the platform for you to acquire and develop the essential skills, tools, and processes needed to become a successful Data Analytics professional. This course prepares you to confidently meet the challenges in this field and aligns with evolving employer demands for Data professionals, significantly enhancing your career prospects. Data Analytics Course Modules are as follows:

Introduction to Data Analysis & Data Cleaning

Week 1: Introduction to Data Analysis

  • The Data Analytics Process
  • Types of Data
  • Data Ethics and Biases
  • Introduction to Data Analysis Tools (Python)

Week 2: Data Preparation

  • Data Cleaning
  • Data Transformation
  • Data Exploration
  • Data Wrangling Techniques

Descriptive Statistics & Data Visualization

Week 3: Descriptive Statistics

  • Measures of Central Tendency
  • Measures of Spread
  • Distributions
  • Interpreting Descriptive Statistics

Week 4: Data Visualization

  • Principles of Effective Visualization
  • Types of Charts
  • Choosing the Right Visualization
  • Data Visualization Tools

Exploratory Data Analysis & Hypothesis Testing

Week 5: Exploratory Data Analysis (EDA)

  • Identifying Relationships and Patterns
  • Correlation and Covariance
  • Feature Selection and Importance
  • Outlier Detection

Week 6: Introduction to Hypothesis Testing

  • Hypothesis Formulation
  • Statistical Significance and p-values
  • T-tests
  • Chi-Squared Tests

Advanced Analysis Techniques & Regression Analysis

Week 7: Advanced Analysis Techniques 1

  • ANOVA and Non-parametric Tests
  • Introduction to Time Series Analysis
  • K-means Clustering

Week 8: Regression Analysis

  • Simple Linear Regression
  • Multiple Linear Regression
  • Model Evaluation
  • Assumptions of Regression

Classification, Advanced Analysis Techniques II & Communicating Results

Week 9: Introduction to Classification

  • Classification Concepts
  • Logistic Regression
  • Decision Trees
  • Model Evaluation

Week 10: Advanced Analysis Techniques II

  • Principal Component Analysis (PCA)
  • Support Vector Machines (SVMs)
  • Decision Trees (continued)
  • Random Forests

Week 11: Communicating Results & Next Steps

  • Creating Data-Driven Reports
  • Storytelling with Data
  • Addressing Ethical Considerations
  • Future Learning in Data Analysis

Aims & Objectives

The aims are to equip our Data Analysis Course learners 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

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.

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. A discount of 10% applies to this course if deposit paid before 1 June 2024.

Course Fee: €990.00 - Pay deposit before 1st June and get a 10% Discount = Fee: €890.00

Deposit €150.00 Secures your place on the course

1st Instalment: 01/10/24  €370.00
2nd Instalment: 12/11/24 €370.00

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