Data Analytics Bootcamp

Topics: Data wrangling, data visualization, statistics, machine learning, SQL, Python

Duration: 12 weeks

Weekly hours: 6 hours

Capstone Project: Data Analysis and Visualization using Python

This bootcamp is designed for learners who want to develop expertise in data analytics. Over 12 weeks, learners will gain hands-on experience using data wrangling tools, data visualization techniques, statistical analysis methods, and machine learning algorithms. The bootcamp covers a range of topics, including data preprocessing, exploratory data analysis, data visualization, probability and statistics, and machine learning with Python.

The bootcamp also includes an introduction to SQL and its applications in data analytics. The final week features a Capstone Project, allowing learners to apply their skills to a real-world project and showcase their abilities to potential employers.

Week 1: Introduction to Data Analytics

  • Overview of Data Analytics
  • Key Terminologies and Concepts
  • Data Analytics Process

Week 2: Data Preprocessing and Wrangling

  • Data types and data quality
  • Data cleaning and missing data imputation
  • Data transformation and normalization

Week 3: Exploratory Data Analysis and Visualization

  • Data visualization using Matplotlib and Seaborn libraries
  • Exploratory data analysis techniques
  • Data distribution and correlation analysis

Week 4: Probability and Statistics

  • Probability distributions
  • Hypothesis testing and statistical inference
  • Regression analysis

Week 5: Machine Learning Fundamentals

  • Introduction to supervised and unsupervised learning
  • Model selection and evaluation metrics
  • Bias-Variance tradeoff and overfitting

Week 6: Machine Learning with Python

  • Scikit-Learn library
  • Regression and classification algorithms
  • Hyperparameter tuning and model optimization

Week 7: Introduction to SQL

  • SQL fundamentals and syntax
  • Data querying with SQL
  • SQL for data manipulation and analysis

Week 8: Machine Learning with SQL

  • SQL for data analysis
  • Working with large datasets
  • Data aggregation and window functions

Week 9: Data Visualization with Tableau

  • Tableau fundamentals
  • Creating interactive visualizations
  • Dashboards and Storytelling

Week 10: Advanced Machine Learning Topics

  • Deep Learning fundamentals
  • Neural Networks and Convolutional Neural Networks
  • Transfer Learning and Reinforcement Learning

Week 11: Big Data Analytics with Spark

  • Introduction to Spark
  • Working with RDDs and DataFrames
  • Spark SQL and Machine Learning with Spark

Week 12: Capstone Project: Data Analysis and Visualization using Python

  • Design and implement a real-world project using Python to perform data analysis and visualization.

The bootcamp is designed to provide learners with a comprehensive understanding of data analytics, along with hands-on experience using popular tools and technologies such as Python, SQL, Tableau, and Spark. The Capstone Project in the final week will allow learners to apply all the knowledge and skills they have acquired during the course to a real-world project, and showcase their abilities to potential employers.

If you're interested in enrolling in the Data Analytics Bootcamp, please contact us at for enquiries and registration.