Data Science and Data Engineering Crash Course
About This CourseTo many Data Science and Artificial Intelligence is a mysterious thing involving some kind sorcery. Well, it’s absolutely pure science which you can master if you are passionate about it. This course is targeted at people working in Information Technology field who don’t have much time to learn about Data Science and Data Engineering. In this crash course we will remove the mystery surrounding Data Science, get your hands started working on this discipline which might help you get a better career with better pay. So if you are interested read on.
What You Need To Bring
Students are encouraged to bring their laptop, we will be providing wifi. We encourage you to work along with us wherever possible.
Syllabus
Data Science Syllabus
Whats Data Science? (1 hr)
Where its been used?
Business
Solving Crime
Astronomy
Mechanical Systems
Computer Security
Defence Industry
Urban Planning
Job Potential
What you need to get started
Data Science Tools (1 hr)
R
Julia
Python
Installation
NumPy (Numerical Python) (1 hr)
Pandas (1 hr)
Data Visualisation (1 hr)
Matplotlib
Seaborn
Bokeh
Data Collection (1 hr)
Surveys
Scrapping the web
Textual Data
Natural language processing (1 hr)
Chatbots
NLP tools
Machine Learning (2 hr)
What is it?
Potential
Supervised Learning
Unsupervised Learning
Clustering
Neural Networks
Deploying Machine Learning Solutions (1 hr)
Handling Data Science Projects (1 hr)
Mathematics Behind Data Science (1 hr)
Introduction To Data Engineering (1 hr)
Data Engineering Syllabus
Data Engineering Overview
Data Storage (1 hour)
Introduction to Hadoop Distributed File System(HDFS)
Hands-on with HDFS
Understanding other Storage components/services
Data Ingestion (3 hours)
Introduction to Apache Sqoop
Hands-on with Apache Sqoop
Introduction to Apache Flume
Hands-on with Apache Flume
Introduction to Apache Kafka
Hands-on with Apache Kafka
Data Processing (5 hours)
Introduction to MapReduce
Hands-on with MapReduce
Introduction to Apache Hive
Hands-on with Apache Hive
Introduction to Spark SQL
Hands-on with Spark SQL
Introduction to Spark Structured Streaming
Hands-on with Spark Structured Streaming
Data Visualization (1 hour)
Introduction to Data Visualization
Hands-on with Data Visualization Python Packages
Building End to End Data Pipeline[Real Time Project] which involves many Big Data technologies. (2 hour)
Happy Learning !!!
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