DATA ANALYSIS BOOTCAMP
Embark on a transformative journey into the world of data analysis with our intensive 10-week Data Analysis Bootcamp. This program is designed for individuals seeking to harness the power of data to derive meaningful insights and drive informed decision-making. Participants will develop a strong foundation in data analysis techniques, tools, and best practices through a combination of hands-on projects, interactive sessions, and real-world applications.
- Duration: 10 Weeks
- Cost: £600
- Start: January/May/September
Program
Week 1-2: Introduction to Data Analysis and Python
- Understanding the role of data analysis in decision-making
- Introduction to Python for data analysis
- Working with libraries such as NumPy and Pandas
- Data cleaning and preprocessing techniques
- Exploratory data analysis (EDA)
Week 3-4: Statistical Analysis and Visualization
- Basic statistics for data analysis
- Descriptive and inferential statistics
- Probability distributions and hypothesis testing
- Data visualization with Matplotlib and Seaborn
- Creating informative and compelling visualizations
Week 5-6: Data Wrangling and Cleaning
- Advanced data cleaning techniques
- Handling missing data and outliers
- Merging, reshaping, and transforming datasets
- Introduction to data wrangling tools like OpenRefine
Week 7-8: Database Fundamentals and SQL
- Understanding relational databases
- Introduction to SQL (Structured Query Language)
- Querying databases for analysis
- Database design and normalization
- Connecting Python to databases
Week 9: Microsoft Power BI for Data Visualization
- Introduction to Microsoft Power BI
- Connecting to various data sources
- Building interactive dashboards
- Data modelling and transformations in Power BI
- Advanced visualization techniques
Week 10: Advanced Topics and Final Project
- Machine learning fundamentals for data analysis
- Implementing machine learning algorithms for predictive analysis
- Time series analysis and forecasting
- Ethics and best practices in data analysis
- Final project: Applying data analysis skills to a real-world problem
Assessment, Prerequisites, Software and Tools
Assessment
- Regular quizzes and assessments
- Practical projects to apply learned skills
- Final project presentation and evaluation
Prerequisites
- Basic understanding of programming concepts
- Familiarity with mathematical concepts (algebra, basic statistics)
Software and Tools:
- Python (Anaconda distribution)
- Jupyter Notebooks
- SQL database (SQLite or similar)
- Data visualization tools (Matplotlib, Seaborn)
- Microsoft Power BI
Assurance
By the end of this Data Analysis Bootcamp, participants will have acquired the skills to confidently analyse and interpret data, create meaningful visualizations using Microsoft Power BI, and apply statistical techniques. Whether you are a beginner looking to enter the data analysis field or a professional seeking to enhance your analytical capabilities, this bootcamp will equip you with the tools and knowledge needed to excel in the data-driven world.
Why Choose Us?
