Data Analytics Course by iClass Gyansetu Training Institute Gurgaon
Data Analytics Course free videos and free material uploaded by iClass Gyansetu staff .
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
Data Analytics Certification is designed to build your expertise in Data Science concepts like Machine Learning, Python, Big Data Analytics using Spark, Reporting tools like Power BI, Tableau. The course is designed for professionals looking for a 360 degree change in Data Engineering, Data Analytics and Data Visualization.
Write a public review