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.
We are specialists in technology – providing a comprehensive suite of talent and training services helping individuals and companies to be winners in the digital revolution.
More than 439,000 people learned with QA in 2022. We deliver services to over 3,500 organisations, representing a significant portion of the FTSE 250.
We have leading practices in agile, cyber security, cloud and DevOps – as well as many other technology specialisms. In addition, our deep-rooted vendor partnerships mean that we deliver 70% of the UK’s cloud training and are a Microsoft Gold delivery partner.
We specialise in the people side of technology transformation – our training programmes help businesses to upskill or reskill their existing employees and our talent services are used to identify, recruit and skill-up diverse technology talent.
We acquired Cloud Academy in 2019, expanding our reach into the US. Cloud Academy is a leading digital training platform, featuring guided learning paths, hands-on labs and skill assessments.
The platform supports not just our clients and their learners but also our apprentices and consultants on their skills journey, ensuring learning extends beyond the classroom and is embedded in developing workplace skills.
We are passionate about progress because we can see the bigger picture. Plotting the road ahead. Pushing the boundaries of learning. Powering potential.
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.
Making sense of new data is vital to allow organisations to carry out business, respond to changes, and take advantage of new opportunities. In this module, you will study data quality and learn how to apply data quality measures to real-life data sets.
Power BI tool is an innovation in creating data models from the data sets an organization has at its disposal. It is the most advanced weapon for data analysts to develop insightful info through their expertise.
The training is delivered with plenty of illustrated examples and augmented with practical hands-on exercises to enhance the learning experience.
The Analysing Data Skills Bootcamp has been designed to help you get to grips with these key topics. Besides building a strong foundational awareness of data principles, this course will introduce you to key tools and techniques, as well as give you an accredited qualification upon completion.
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