Data Science
According to the survey, data scientist is the top ranking professional in the market. As a Data Scientist you need to understand the Business problem, gather data for the same and analyze by applying correct algorithms and techniques using current tools. A after running data through the Model you come out with the result of the exercise which include visualizing the result and communicates results to concern people in form of powerpoint or some sort of report.
Data Science is one of the fastest-growing fields in the IT sector. Data Science finds applications in almost all fields including healthcare and finance.
Mastering MS Excel and Concepts of Programming
- Discovering MS Excel
- Understanding Programming Basics
Discovering Data Analysis
- Discovering SQL Basics and mastering Data Analysis
- Understanding Python for DS - Installation, Building Blocks, Strings and Data Structures
- Grasping Python for DS - Functions, Modules, Files, Lambda functions, Errors and OOPs
- Discerning Probability and Statistics - Descriptive Statistics, Distributions and Probability Theory
- Mastering Probability and Statistics - Hypothesis Testing, Regressions and ANOVA
- Grasping Data Preprocessing - Numpy, Pandas, RegEx
- Discovering Data Preprocessing - Web Scraping and EDA
- Mastering NoSQL
- Discerning Data Visualization with Tableau
Understanding Machine Learning with Python
- Grasping Machine Learning - Math for DS
- Discovering Machine Learning - Linear Regression
- Understanding Regularization Techniques - LASSO and RIDGE
- Introduction to Classification and Logistic Regression
- Discovering KNN, Naive Bayes and SVM
- Mastering Decision Tree, Random Forest and Boosting
- Grasping Unsupervised Learning - Clustering and PCA
Data Engineering
- Grasping Big Data Processing with Hadoop
- Discovering Streaming Big Data with Spark
- Mastering Streaming Big Data with Spark
- Mastering Machine Learning Model Deployment on Cloud
NLP and Deep Learning
- Discovering NLP - Feature Extraction, Texblob, Spacy, Text Classification
- Grasping NLP - Sentiment Analysis and Chatbots
- Discerning Deep Learning with Keras and Tensorflow - Keras, Tensorflow and CNN
- Mastering Deep Learning with Keras and TensorFlow, Adv CNNs, NLP and GANs
Data Structures and Algorithms
- Basic Techniques of Algorithm Analysis
- Linked Lists and Binary Trees
- Advanced Data Structures
- Analyze the Asymptotic Performance of Algorithms
- Algorithmic Design Paradigms and Methods of Analysis
- Microservices Architecture and its Implications