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Meta Xcel — Data Science Bootcamp
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Data Science Python · ML · Big Data Job-focused

Data Science Bootcamp.

Become a job-ready Data Scientist in 16 weeks. Master Python programming, machine learning, big data, data visualization, and NLP — culminating in a real-world capstone project that proves your skills to employers.

Data Science Bootcamp
Live cohort · Enrolling now
Job placement included
01 Program Overview

Become a job-ready Data Scientist.

The Data Science Bootcamp is your gateway to a dynamic, rewarding career in data science — a comprehensive program designed to equip you with the essential skills to excel in this rapidly evolving field.

This six-module bootcamp covers Python programming, exploratory data analysis, data modeling, machine learning, big data and distributed computing, data visualization, NLP, and text analytics. You'll work with large datasets, receive pre-course prep lessons in Python and statistics, and develop a real-world portfolio project — culminating in a capstone with a predictive model and stakeholder presentation.

Python & ML Master Python programming and core machine learning techniques.
Big Data Work with Hadoop, Spark, NoSQL, and distributed processing.
NLP & Text Analytics Build chatbots and language models with NLP techniques.
Capstone Project Build a predictive model and present to stakeholders.
02 Curriculum

31 lessons across 6 modules.

A structured journey from the fundamentals of data science through advanced analysis, big data, visualization, natural language processing, and a real-world capstone project.

01

Fundamentals of Data Science

6 lessons · Foundation
  1. 01Introduction to Data Science
  2. 02Python Programming for Data Analysis
  3. 03Exploratory Data Analysis (EDA)
  4. 04Data Modeling and Predictive Analytics
  5. 05Machine Learning Basics
  6. 06Intro to Data Science
02

Advanced Data Analysis Techniques

5 lessons · Core concepts
  1. 01Data Cleaning and Preprocessing
  2. 02Feature Engineering
  3. 03Model Evaluation and Selection
  4. 04Supervised Learning
  5. 05Unsupervised Learning
03

Big Data and Distributed Computing

5 lessons · Advanced
  1. 01Introduction to Big Data
  2. 02Hadoop and MapReduce
  3. 03Spark and Distributed Data Processing
  4. 04Working with NoSQL Databases
  5. 05Real-time Data Processing
04

Data Visualization and Communication

5 lessons · Visualization
  1. 01Data Visualization Tools and Techniques
  2. 02Design Principles for Effective Data Visualization
  3. 03Communicating Data Insights
  4. 04Storytelling with Data
  5. 05Interactive Data Dashboards
05

Natural Language Processing and Text Analytics

5 lessons · Advanced
  1. 01Introduction to Natural Language Processing (NLP)
  2. 02Text Preprocessing and Tokenization
  3. 03Sentiment Analysis
  4. 04Named Entity Recognition
  5. 05Building Chatbots and Language Models
06

Capstone Project and Advanced Topics

5 lessons · Capstone
  1. 01Final Capstone Project Overview
  2. 02Specialized Topics in Data Science
  3. 03Emerging Trends in Data Analytics
  4. 04Ethical Considerations in Data Science
  5. 05Career Development and Networking
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