This 5-day course is ideal for people who are currently working as software engineers with data, or in business intelligence, looking for a level-up to the next stage of large data analysis skills and contemporary patterns of Data Science.
DurationOverview
An introduction to Python, Data Science and Big Data, plus a deep introduction to the major Big Data technologies for the practitioners working with them.
This 5-day course is ideal for people who are currently working as software engineers with data, or in business intelligence, looking for a level-up to the next stage of large data analysis skills and contemporary patterns of Data Science.
You will learn how to work and model large sets of data and understand the statistical mathematical models behind it. You'll also work with SQL and NoSQL trends and understand how to create an effective hypothesis-approach way of working with data and discerning really measurable statistical outcomes.
Target Audience
Practitioners of data analysis and fledging data scientists who wish to leverage Big Data technologies such as NoSQL databases, Hadoop and Spark.
Prerequisites
Basic knowledge of data base architecture and SQL
Basic knowledge in programming: variables, flow and scope and functions
Prior experience of working with data
Experience with Python or other scripting languages such as Perl will be an advantage
Learning Outcomes
At the end of this course attendees will know:
Fundamentals of Data Science
Fundamentals of Machine Learning
Fundamentals of Python programming
Python's data and numerical packages
How to visualise data using Python
Different data models
What is a NoSQL database, how is it different from a (traditional) Relational Database
What is Hadoop
What is Spark
At the end of this course attendees will be able to:
Write Python programs to manipulate data
Use Python to visualise data
Query graph databases Neo4j
Query column store database Cassandra
Query document based database MongoDB
Use Hadoop and Spark
Use Python Machine Learning libraries to perform predictive analysis
Course Outline
Introduction to Data Science
Data Mining and Machine Learning
Data Models
NoSQL
Introduction to Python
Python and Data
Python Databases and SQL
Data Science and Numerical Python
MongoDB
Neo4j and Graph Analytics
Functional Programming
Hadoop and Ecosystem
Spark MapReduce
Spark SQL
Python Machine Learning
QA delivers training, apprenticeships and tech skills to UK companies large and small. We believe everything starts with our learners – transforming their careers, and their lives, is what motivates us.
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We are passionate about progress because we can see the bigger picture. Plotting the road ahead. Pushing the boundaries of learning. Powering potential.
This is a hands-on course. We give you plenty of time to play with what you are being taught and ask questions. Our expert instructors break the course into easily digestible sections so that we can make sure that no-one is left behind.
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