TECH I.S.

The Data Science Bootcamp students learn the entire data science process from scratch. This includes Raw Data Collection & Processing, Cleaning the Data sets, Exploratory Data Analysis, Building Models & Algorithms, Storytelling through data visualization & integrating it into Data products. Bootcamp students receive 1:1 mentorship with a tech industry expert and receive 24/7 course support from instructors. All Bootcamp students receive job placement support that leverages the TECH.I.S hiring partner network. The curriculum covered in the Data Science program is as follows - - Python - SQL - Manipulating Data with Numpy - Wrangling Data with Pandas - Data Visualisation - Exploratory Data Analysis - Inferential Statistics - Linear Algebra Foundations - Introduction to Linear regression and Cost function and Regularisation - Logistic Regression, KNN and Naive Bayes models - Decision Tree modelling, Random forests and Bagging models - Boosting Algorithms - GBM, AdaBoost, XgBoost - Model Evaluation and selection, Cross-validation, Feature Engineering - Unsupervised Learning - Clustering techniques, PCA - Natural Language Processing - Introduction to Neural Networks - Neural Network Architectures and applications - Recommendation systems, Introduction to Data Structures - Data Structures and algorithms (implemented in Python) - Algorithms, Devops - Git, Docker, AWS, Model deployment