--- title: Become a Data Scientist in 12 Weeks | NYC Data Science Academy description: Become a certified data scientist through a 12-Week Intensive Data Science Bootcamp. Learn R, Python, Machine Learning, Hadoop and Spark. Enjoy Job Support. image: http://info.nycdatascience.com/hubfs/Company_Logo/logo_spotify@2x.png --- [![NYCDSA_Logos_final_horizontal_white](https://info.nycdatascience.com/hs-fs/hubfs/NYCDSA_Logos_final_horizontal_white.png?width=250&height=55&name=NYCDSA_Logos_final_horizontal_white.png "NYCDSA_Logos_final_horizontal_white")](http://nycdatascience.com) # Become a Data Scientist in 12 Weeks  ## Data Science with Machine Learning This immersive program is designed to prepare students for a career in data science while equipping them with the knowledge and skills required to use industry tools and apply them in real-world applications.     (In-Person on campus or Remote Live Instruction: Daily In-person Learning or Live Class in Zoom, 12-Week, Full Time)     ![NYCDSA Switchup Award](https://info.nycdatascience.com/hs-fs/hubfs/swtichup-1.png?width=206&name=swtichup-1.png) NYC Data Science Academy is recognized and ranked as “Best Data Science Bootcamp” for 2016, 2017, 2018, 2019, and 2020 by SwitchUp ### Explore the data science bootcamp curriculum **Receive a tuition discount if you submit your application to join our Winter 2021 bootcamps between now through Friday, December 11, 2020.** ![best](https://info.nycdatascience.com/hs-fs/hubfs/best.png?width=163&height=163&name=best.png "best") ## **Our Bootcamp Review** Our Data Science Bootcamp is ranked as “Best Data Science Bootcamp” for 2019, 2020, and 2021 by Course Report. ![bc_icon_02_optimized](https://info.nycdatascience.com/hs-fs/hubfs/bc_icon_02_optimized.png?width=163&name=bc_icon_02_optimized.png "bc_icon_02_optimized") ## **Complete Curriculum** The only bootcamp that teaches both Python and R with machine learning, data analytics, and data visualization ![cutting-edge](https://info.nycdatascience.com/hs-fs/hubfs/cutting-edge.png?width=163&name=cutting-edge.png "cutting-edge") ## **Cutting-Edge** Curriculum drawn and updated through the engagement with corporate trainees, hiring partners, and leading industry experts ![project](https://info.nycdatascience.com/hs-fs/hubfs/project.png?width=163&name=project.png "project") ## **Project-Oriented** Four real-world and company-sponsored projects including a capstone to develop your programming and professional skills ![career](https://info.nycdatascience.com/hs-fs/hubfs/career.png?width=163&name=career.png "career") ## **Career Services** Lifelong career support including one-on-one resume reviews, interview prep, and exclusive access to networking opportunities with our hiring partners ![engaging](https://info.nycdatascience.com/hs-fs/hubfs/engaging.png?width=163&name=engaging.png "engaging") ## **Engaging Community** An active community of 2000+ working data scientists, like-minded peers, and data experts across various fields ![dean-goldman](https://info.nycdatascience.com/hs-fs/hubfs/dean-goldman.png?width=200&height=200&name=dean-goldman.png "dean-goldman") ### "After graduating, I was offered my first full-time job as a data engineer. (I do not come from a CS, math or stats background). They are very successful at getting their students fluent in the tools and technologies, and prepared for finding great jobs in the field." ###### Dean Goldman ###### Data Engineer, Samsung Ads ![landing-icon-elsa](https://info.nycdatascience.com/hs-fs/hubfs/landing-icon-elsa.png?width=200&name=landing-icon-elsa.png "landing-icon-elsa") ### "I learned everything I know about machine learning from the bootcamp. The curriculum gives you all the tools you need to develop your data science skills for the job." ###### Elsa Vera Amores ###### Data Scientist, JP Morgan Chase ![landing-icon-kweku](https://info.nycdatascience.com/hs-fs/hubfs/landing-icon-kweku.png?width=200&name=landing-icon-kweku.png "landing-icon-kweku") ### "It's the hardest three months you'll ever experience. But at the end, it's really worth it. My advice is to be prepared for a very tough, but rewarding experience." ###### Kweku Ulzen ###### Senior Data Scientist, Nielsen In this program, students will learn beginner and intermediate levels of Data Science with an option to specialize in Big Data Technologies or Deep Learning. Students will also learn to build statistical models, linear regression, data classification and visualization using Python, R, Hadoop, Spark, and AWS. ## **Unit 1** ## **Data Science Tool Kit** Learn to work from the command line - a must have skill for all data scientists. Work with basic Linux commands, text editing, and Git for version control. MySQL is taught with extensive practice on data manipulation. ## **Unit 2** ## **Data Analytics & Data Visualization with R** Dive deep into R programming language from basic syntax to advanced packages and data visualization (e.g. tidyr, dplyr, string manipulation, ggplot2, R Shiny). Create a data-centric application with interactive visualizations. ## **Unit 3** ## **Data Analytics & Data Visualization with Python** Basic Python programming, followed by versatile packages such as Numpy, Scipy, Matplotlib, Pandas, and Beautifulsoup. Exposure to NoSQL and MongoDB. Complete a Python web scraping project. ## **Unit 4** ## **Machine Learning with R** Descriptive statistics, hypothesis testing, missingness, imputation & KNN, simple linear regression, multiple linear regression, generalized linear models, PCA, ridge/lasso, trees, random forests, bagging, boosting, support vector machines, neural networks, time series analysis, unsupervised learning. Complete a Kaggle competition. ## **Unit 5** ## **Machine Learning with Python** Deepen machine learning skills with scikit learn. Focus on data cleaning, feature extraction, natural language processing, modeling and model selection using regression, SVM, PCA, tree models, clustering and more. ## **Unit 6** ## **High Performance Computing, Hadoop, & Spark** Learn the concepts of high performance computing with parallel computing skills in Python and R. Introduction to MapReduce, Hadoop, Hive, Spark, and Spark MLlib. ## **Unit 7** ## **Capstone Project and Job Placement Support** Complete a capstone project. Resume review, tips of interview skills, and opportunities to interview with potential employers. Receive customized resume support, LinkedIn profile review, elevator pitch workshops and career guidance, and more. # Join thousands of our graduates who have landed jobs in these companies ![logos_updated_optimized](https://info.nycdatascience.com/hs-fs/hubfs/logos_updated_optimized.jpg?width=1025&name=logos_updated_optimized.jpg "logos_updated_optimized") ### Explore the data science bootcamp curriculum