| Program start date | Application deadline |
| 2024-10-09 | - |
| 2024-12-18 | - |
Program Overview
This 11-week online program equips students with the knowledge and skills to analyze and visualize data effectively using Python libraries. Graduates will develop critical thinking, problem-solving, and communication abilities to make data-driven decisions for business growth. The program emphasizes hands-on exercises and real-world projects, preparing students for careers in data analysis, business analysis, and data science.
Program Outline
Professional Diploma In Data Analytics Using Python
Objectives:
- Equip students with the fundamental knowledge and skills of data analysis.
- Develop critical thinking and problem-solving abilities to handle real-world data analysis tasks.
- Enhance communication skills to present data analysis results effectively.
Key Highlights:
- Focus on hands-on exercises and real-world projects.
- Enhance career prospects in the rapidly growing field of data analysis.
Duration:
11 weeks
Delivery:
100% Live Online Classes
Fees:
€990.00 (10% discount available if deposit paid before June 1st, 2024)
Start Date:
09/10/24 - 18/12/24
Wednesday Schedule:
18.30-21.30 pm
Outline:
The program consists of 11 modules with a weekly structure:
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
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
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
Week 7:
Advanced Analysis Techniques I
- 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
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
Assessment:
Continuous assessment throughout the program:
- Personal project to showcase data analysis skills using Python.
- Individual assignments focused on different aspects of data analysis.
Teaching:
- Focus on interactive learning and personalized attention.
- Access to study materials, including PowerPoint presentations and handouts.
Careers:
Upon completion, graduates can pursue various data-driven career paths:
- Data Analyst
- Business Analyst
- Data Scientist
- Machine Learning Engineer
- Opportunities across diverse industries like finance, marketing, and healthcare.
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
