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Course Outline
Introduction
- The Data Science Process
- Roles and responsibilities of a Data Scientist
Preparing the Development Environment
- Libraries, frameworks, languages and tools
- Local development
- Collaborative web-based development
Data Collection
- Different Types of Data
- Structured
- Local databases
- Database connectors
- Common formats: xlxs, XML, Json, csv, ...
- Un-Structured
- Clicks, censors, smartphones
- APIs
- Internet of Things (IoT)
- Documents, pictures, videos, sounds
- Structured
- Case study: Collecting large amounts of unstructured data continuosly
Data Storage
- Relational databases
- Non-relational databases
- Hadoop: Distributed File System (HDFS)
- Spark: Resilient Distributed Dataset (RDD)
- Cloud storage
Data Preparation
- Ingestion, selection, cleansing, and transformation
- Ensuring data quality - correctness, meaningfulness, and security
- Exception reports
Languages used for Preparation, Processing and Analysis
- R language
- Introduction to R
- Data manipulation, calculation and graphical display
- Python
- Introduction to Python
- Manipulating, processing, cleaning, and crunching data
Data Analytics
- Exploratory analysis
- Basic statistics
- Draft visualizations
- Understand data
- Causality
- Features and transformations
- Machine Learning
- Supervised vs unsurpevised
- When to use what model
- Natural Language Processing (NLP)
Data Visualization
- Best Practices
- Selecting the right chart for the right data
- Color pallets
- Taking it to the next level
- Dashboards
- Interactive Visualizations
- Storytelling with data
Summary and Conclusion
Requirements
- A general understanding of database concepts
- A basic understanding of statistics
Testimonials
La compétence du formateur
Marie-Thérèse Saussus, SPW
Highcharts for Data Visualization Course
o conteúdo em si que foi ensinado.
Edivaldo Gonçalves Cordeiro, Imdepa Rolamentos
Qlik Sense for Data Science Course
Do aprendizado, conseguir colocar em prática os exercícios propostos.
Samanta - Edivaldo Gonçalves Cordeiro, Imdepa Rolamentos
Qlik Sense for Data Science Course
Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.
Julia Kuczma - Julia Kuczma, DLA Piper GSC Poland Sp. z o.o.
Tableau Intermediate Training Course Course
Easy and to the point
Nesreen Awada, TDRA
PL-300T00: Microsoft Power BI Data Analyst Course
Statistics and Array manipulation, Khobeib was able to spend time working through specific analytical questions with us and demonstrate custom calculations and solutions to our questions. Khobeib was also able to adjust the training to our pace and level of understanding. Having worked with data for some time some of the intermediate level core subjects were not required. To his credit Khobeib took this on board and moved through the contents at a speed relevant to our knowledge and understanding.
Department of Home Affairs
Tableau Intermediate Training Course Course
Younes is a great trainer. Always willing to assist, and very patient. I will give him 5 stars. Also, the QLIK sense training was excellent, due to an excellent trainer.
Dietmar Glanninger - BMW
Qlik Sense for Data Science Course
Ajay created a very helpful repository, filled with notes on processes and setups. He also goes through each of our virtual machines to make sure we are keeping up to speed, and he guides us when we're not. He is generous and helpful in training newbies like us.
Thakral One
Apache Druid for Real-Time Data Analysis Course
Instructor provided different ways to setup druid
Thakral One
Apache Druid for Real-Time Data Analysis Course
Detailed explanation and very approachable trainer
Thakral One
Apache Druid for Real-Time Data Analysis Course
Real-world example
Hans Alain Nyaba - Federal Geospatial Platform, Natural Resources Canada
D3.js for Data Visualization Course
By the end of the day I felt more comfortable working with D3.JS
Federal Geospatial Platform, Natural Resources Canada
D3.js for Data Visualization Course
Very interactive, trainers were always open to answering questions and helping out if we were falling behind. Appreciated that they were able to customize the training to our needs and use the data sets we provided.
Audrey Bernard - Environment and Climate Change Canada
Creating Dashboards Using Microsoft Power BI Course
Being able to follow along with hands-on examples
Robin White - Environment and Climate Change Canada
Creating Dashboards Using Microsoft Power BI Course
I liked the mix between theory and hands-on work, the small class size, and how knowledgeable and fun the instructors were. Both instructors were always smiling and very personable. Even though each training session was long, the time (for me at least) often passed quickly because I found the material quite engaging.
Environment and Climate Change Canada
Creating Dashboards Using Microsoft Power BI Course
The trainer was very good. He presented the material in a really accessible way.
Hydrock
Introduction to Data Visualization with Tidyverse and R Course
The trainer was very concern about individual understanding.
Muhammad Surajo Sanusi - Birmingham City University
Foundation R Course
Good examples / demonstrations
- Ofqual
D3.js for Data Visualization Course
I genuinely enjoyed the hands passed exercises.
Yunfa Zhu - Environmental and Climate Change Canada
Foundation R Course
I was benefit from the good examples and opportunity to follow along.
- Environmental and Climate Change Canada
Foundation R Course
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Introduction to Data Visualization with Tidyverse and R Course
I was benefit from the detailed notes to keep and work through after the course.
- Public Health Wales NHS Trust
Introduction to Data Visualization with Tidyverse and R Course
Learning about all the chart types and what they are used for. Learning the value of decluttering. Learning about the methods to show time data.
Susan Williams
Data Visualization Course
I really appreciated that Jeff utilized data and examples that were applicable to education data. He made it interesting and interactive.
Carol Wells Bazzichi
Data Visualization Course
I thought that the information was interesting.
Allison May
Data Visualization Course
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