Lighthouse Labs' immersive 12-week Data Science Bootcamp will provide you with the skills, knowledge, and confidence to launch a career in Data Science. From SQL to Python to Machine Learning and beyond, you’ll learn a mix of programming, mathematical, and applied data skills to help you succeed on the job.
Data Foundations: Dive into Python and get to know fundamental tools such as Git, GitHub, bash commands, and Jupyter Notebooks. Build up your foundations in probability and statistics, and learn how to access JSON APIs to fetch datasets and extract key insights.
Data Wrangling: Learn how to clean and structure complex data sets. Apply different data wrangling techniques to prepare JSON and XML files, leverage SQL clean your data, and use APIs to access data from various sources.
Data Visualization: Discover how to translate your data into shareable insights with data visualization. Learn the most popular tools - like matplotlib, Seaborn, and Plotly - and learn how to select the best tools to convey the story you want to tell.
Machine Learning: Machine Learning is core to applied Data Science, and you’ll learn how to build Machine Learning models from the ground up, including data preparation, dimensionality reduction, optimization and evaluation.
Data Engineering: Learn how to improve data quality and move models into production and deployment. Develop data engineering pipelines and Machine Learning deployment using cloud tools like Apache Spark, Docker, Flask, and more.
Deep Learning: Dive into deep learning techniques and learn about the densely-connected natural networks that drive performance. Learn to identify the appropriate natural network architecture for a given problem and data set.
Git, Github, Docker, JSON, Apache, API, Python, Jupyter Notebook, Machine Learning, SQL, Data Visualization, Data Science