Data Analytics Course

Machine Learning Introduction

Python Data Analysis Libraries (EDA)

Machine Learning: Data Pre-processing Techniques

Machine Learning: Data Handling (Importing and exporting data from various sources)

Machine Learning: Capstone Project

Machine Learning: Statistical Inference System (Statistics Analysis)

Machine Learning: Dimensionality Reduction (Feature Engineering)

Machine Learning: Supervised Learning : Regression

Machine Learning: Supervised Learning : Classification

Machine Learning: Unsupervised Learning : Clustering

Machine Learning: Recommender Systems

Case Study : Design a Recommendation Engine

Machine Learning: Reinforcement Learning

Machine Learning: Text Mining & Natural Language Processing (NLP)

Machine Learning: Word2Vec Analysis

Machine Learning: NLP - POS(Parts-of-Speech Tagging)

Power BI Introduction

Power BI Components

Getting Data using Power BI

Power BI Transformations

Creating Data Models

Power BI Charts

Power BI Filters

Power BI Visualizations

Exploring Data in Power BI

Power BI and Excel

Power BI Publishing and sharing

Data Analysis Expressions (DAX) Functions

Power BI Integration with Data Sources

Reports & Dashboards

Artificial Intelligence Visuals

Apache Hadoop on AWS Cloud

Learning Big Data and Hadoop

Hadoop Architecture and HDFS

Hadoop MapReduce Framework

Apache Hive

Apache Sqoop

Apache Pig

Confluent Kafka External APIs & Related Services

Orchestration Engine for Scheduling of ETL Jobs(Batch & Real-Time) in Big Data Applications:

Apache Oozie

APACHE AIRFLOW

Data Processing with Apache Spark

Big Data Related Services on AWS Cloud

Deploying BIG Data application in Production environment using Docker & Kubernetes:

Docker Overview for Deploying Big Data Applications

Kubernetes Overview for Deploying BIG Data Applications

IMPORTANT POINTS THAT WILL BE DISCUSSED DURING LAST PHASE OF TRAINING:

Introduction

PYSPARK CORE

PySpark RDD

All Transformation & Actions

PySpark Dataframes (PySpark SQL)

Loading Data from DataSources into Dataframe:

PySpark DataSets

PySpark Streaming (PySpark Streaming(Based on RDD)

PySpark Streaming (DStreams based on RDD APIs)

PySpark GraphX

Deploying BIG Data application in Production environment using Docker & Kubernetes

PySpark Best Practice

Case Study & QA