- Overview of Natural Language Processing and text mining
- Text mining, cleaning, and processing
- Text classification
- Sentence structure, sequence tagging, sequence tasks, and language modelling
- Introduction to semantics and vector space models
- Dialog systems
- Introduction to Deep Learning and Neural Networks
- Multi-layered Neural Networks
- Artificial Neural Networks and various methods Deep Learning libraries
- Introduction to SQL
- Database normalization and entity-relationship model
- SQL operators
- Working with SQL:Join, tables, and variables
- Deep dive into SQL
- SQL Functions
- Working with Subqueries
- SQL views,functions, and stored procedures
- Entering data
- Referencing in formulas
- Name range
- Understanding logical functions&conditional formatting
- Important formulas in Excel
- Working with Dynamic table
- Data transformation for analysis
- Working with charts for data visualization
- Pivottables in Excel
- Working with Macros in Excel and working with VBA
- Introduction to data visualization
- Architecture of Tableau
- Working with metadata and data blending
- Creation of sets
- Working with filters
- Organizing data and visual analytics
- Working with mapping
- Working with calculations and expressions
- Working with parameters
- Charts and graphs
- Dashboards and stories
- Tableau Prep
- Integration of Tableau with R
- Introduction to Big Data and Apache Spark
- Apache Spark framework andRDDs
- Py Spark SQL and Data Frames
- Introduction to Hive
- Linear Regression
- Logistic Regression
- Linear Discriminant Analysis
- Classification and Regression Trees
- Naive Bayes
- K-Nearest Neighbors (KNN)
- Learning Vector Quantization (LVQ)
- Support Vector Machines (SVM)
- Random Forest
- Supervised Learning
- Classification
- Regression
- Estimation
- Unsupervised Learning
- Clustering
- Prediction
- Reinforcement Learning
- Decision Making
- Centraltendency
- Variability
- Hypothesis testing
- Anova
- Correlation
- Regression
- Probability definitions and notation
- Joint probabilities
- The sum rule, conditional probability, and the product rule
- Bayes theorem
- PythonRefresher
- PythonBasics
- Python Data Structures
- Python Programming Fundamentals
- File handling in Python
- Numpy
- Pandas
- SciPy
- Matplotlib
- Seaborn
