Data Science
Overview
Curriculum
Features
Overview
Data Science is using various tools and systems to analyze and interpret the data and its patterns. It includes Statistics, Data Science, Python, R, Apache Spark & Scala, Tensorflow, Machine Learning, Deep Learning and Tableau.
Curriculum
- Python Statistics
- Parameter Estimation
- Regression
- R Statistics
- Hypothesis Testing
- Regression
- Clustering
- Best Estimator
- Data Science using R
- Naïve Bias
- Supervised Learning
- Artificial Neural Network
- Python for Data Science
- Data Wrangling
- Matplotib
- Numpy
- Pandas
- Apache Spark & Scala
- Scala
- Spark Streaming
- RDDs
- MLlib
- Spark SQL
- AI & Deep Learning with Tensorflow
- Gradient Descent
- Tensorflow
- Autoencoders
- Tableau
- Graphical Visualization
- Clustering
- Forecasting
Features
Real Life Case Studies
Projects modeled on select use cases with implementation of diverse technology concepts
Assignments
All guided classes and courses are mandatorily followed by useful practical assignments
24x7 Expert Support
Every technical query is resolved on demand with readily available expert assistance
Instructor-led Sessions
Technical session conducted under the guidance of qualified and certified educationists
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