Data Analysis Training Courses

Data Analysis Training Courses

Local, instructor-led live Data Analysis (Analysis of Data or Data Analytics) training courses demonstrate through discussion and hands-on practice the programming languages and methodologies used to perform Data Analysis. Data Analysis training is available as "onsite live training" or "remote live training". Onsite live training can be carried out locally on customer premises in Canada or in NobleProg corporate training centers in Canada. Remote live training is carried out by way of an interactive, remote desktop. NobleProg -- Your Local Training Provider

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Data Analysis Course Outlines

CodeNameDurationOverview
mdlmrahModel MapReduce and Apache Hadoop14 hoursThe course is intended for IT specialist that works with the distributed processing of large data sets across clusters of computers.
datavis1Data Visualization28 hoursThis course is intended for engineers and decision makers working in data mining and knoweldge discovery.

You will learn how to create effective plots and ways to present and represent your data in a way that will appeal to the decision makers and help them to understand hidden information.
foundrFoundation R7 hoursThe objective of the course is to enable participants to gain a mastery of the fundamentals of R and how to work with data.
echartsECharts14 hourseCharts is a free JavaScript library used for interactive charting and data visualization.

In this instructor-led, live training, participants will learn the fundamental functionalities of ECharts as they step through the process of creating and configuring charts using ECharts.

By the end of this training, participants will be able to:

- Understand the fundamentals of ECharts
- Explore and utilize the various features and configuration options in ECharts
- Build their own simple, interactive, and responsive charts with ECharts

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
highchartsHighcharts for Data Visualization7 hoursHighcharts is an open-source JavaScript library for creating interactive graphical charts on the Web. It is commonly used to represent data in a more user-readable and interactive fashion.

In this instructor-led, live training, participants will learn how to create high-quality data visualizations for web applications using Highcharts.

By the end of this training, participants will be able to:

- Set up interactive charts on the Web using only HTML and JavaScript
- Represent large datasets in visually interesting and interactive ways
- Export charts to JPEG, PNG, SVG, or PDF
- Integrate Highcharts with jQuery Mobile for cross-platform compatibility

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
d3jsD3.js for Data Visualization7 hoursD3.js (or D3 for Data-Driven Documents) is a JavaScript library that uses SVG, HTML5, and CSS for producing dynamic, interactive data visualizations in web browsers.

In this instructor-led, live training, participants will learn how to create web-based data-driven visualizations that run on multiple devices responsively.

By the end of this training, participants will be able to:

- Use D3 to create interactive graphics, information dashboards, infographics and maps
- Control HTML with jQuery-like selections
- Transform the DOM by selecting elements and joining to data
- Export SVG for use in print publications

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
powerbiforbiandanalyticsPower BI for Business Analysts21 hoursMicrosoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.

In this instructor-led, live training, participants will learn how to use Microsoft Power Bi to analyze and visualize data using a series of sample data sets.

By the end of this training, participants will be able to:

- Create visually compelling dashboards that provide valuable insights into data
- Obtain and integrate data from multiple data sources
- Build and share visualizations with team members
- Adjust data with Power BI Desktop

Audience

- Business managers
- Business analystss
- Data analysts
- Business Intelligence (BI) and Data Warehouse (DW) teams
- Report developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
tidyverseIntroduction to Data Visualization with Tidyverse and R7 hoursThe Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

By the end of this training, participants will be able to:

- Perform data analysis and create appealing visualizations
- Draw useful conclusions from various datasets of sample data
- Filter, sort and summarize data to answer exploratory questions
- Turn processed data into informative line plots, bar plots, histograms
- Import and filter data from diverse data sources, including Excel, CSV, and SPSS files

Audience

- Beginners to the R language
- Beginners to data analysis and data visualization

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
datavisualizationreportsData Visualization: Creating Captivating Reports21 hoursIn this instructor-led, live training, participants will learn the skills, strategies, tools and approaches for visualizing and reporting data for different audiences. Case studies are also analyzed and discussed to exemplify how data visualization solutions are being applied in the real world to derive meaning out of data and answer crucial questions.

By the end of this training, participants will be able to:

- Write reports with captivating titles, subtitles, and annotations using the most suitable highlighting, alignment, and color schemes for readability and user friendliness.
- Design charts that fit the audience's information needs and interests
- Choose the best chart types for a given dataset (beyond pie charts and bar charts)
- Identify and analyze the most valuable and relevant data quickly and efficiently
- Select the best file formats to include in reports (graphs, infographics, references, GIFs, etc.)
- Create effective layouts for displaying time series data, part-to-whole relationships, geographic patterns, and nested data
- Use effective color-coding to display qualitative and text-based data such as sentiment analysis, timelines, calendars, and diagrams
- Apply the most suitable tools for the job (Excel, R, Tableau, mapping programs, etc.)
- Prepare datasets for visualization

Audience

- Data analysts
- Business managers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
embeddingprojectorEmbedding Projector: Visualizing your Training Data14 hoursEmbedding Projector is an open-source web application for visualizing the data used to train machine learning systems. Created by Google, it is part of TensorFlow.

This instructor-led, live training introduces the concepts behind Embedding Projector and walks participants through the setup of a demo project.

By the end of this training, participants will be able to:

- Explore how data is being interpreted by machine learning models
- Navigate through 3D and 2D views of data to understand how a machine learning algorithm interprets it
- Understand the concepts behind Embeddings and their role in representing mathematical vectors for images, words and numerals.
- Explore the properties of a specific embedding to understand the behavior of a model
- Apply Embedding Project to real-world use cases such building a song recommendation system for music lovers

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
zeppelinZeppelin for interactive data analytics14 hoursApache Zeppelin is a web-based notebook for capturing, exploring, visualizing and sharing Hadoop and Spark based data.

This instructor-led, live training introduces the concepts behind interactive data analytics and walks participants through the deployment and usage of Zeppelin in a single-user or multi-user environment.

By the end of this training, participants will be able to:

- Install and configure Zeppelin
- Develop, organize, execute and share data in a browser-based interface
- Visualize results without referring to the command line or cluster details
- Execute and collaborate on long workflows
- Work with any of a number of plug-in language/data-processing-backends, such as Scala ( with Apache Spark ), Python ( with Apache Spark ), Spark SQL, JDBC, Markdown and Shell.
- Integrate Zeppelin with Spark, Flink and Map Reduce
- Secure multi-user instances of Zeppelin with Apache Shiro

Audience

- Data engineers
- Data analysts
- Data scientists
- Software developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
octnpOctave not only for programmers21 hoursCourse is dedicated for those who would like to know an alternative program to the commercial MATLAB package. The three-day training provides comprehensive information on moving around the environment and performing the OCTAVE package for data analysis and engineering calculations. The training recipients are beginners but also those who know the program and would like to systematize their knowledge and improve their skills. Knowledge of other programming languages is not required, but it will greatly facilitate the learners' acquisition of knowledge. The course will show you how to use the program in many practical examples.
druidDruid: Build a Fast, Real-Time Data Analysis System21 hoursDruid is an open-source, column-oriented, distributed data store written in Java. It was designed to quickly ingest massive quantities of event data and execute low-latency OLAP queries on that data. Druid is commonly used in business intelligence applications to analyze high volumes of real-time and historical data. It is also well suited for powering fast, interactive, analytic dashboards for end-users. Druid is used by companies such as Alibaba, Airbnb, Cisco, eBay, Netflix, Paypal, and Yahoo.

In this course we explore some of the limitations of data warehouse solutions and discuss how Druid can compliment those technologies to form a flexible and scalable streaming analytics stack. We walk through many examples, offering participants the chance to implement and test Druid-based solutions in a lab environment.

Audience

- Application developers
- Software engineers
- Technical consultants
- DevOps professionals
- Architecture engineers

Format of the course

- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
datavisR1Introduction to Data Visualization with R28 hoursThis course is intended for data engineers, decision makers and data analysts and will lead you to create very effective plots using R studio that appeal to decision makers and help them find out hidden information and take the right decisions
tableaufordevTableau for Developers21 hoursTableau is a business intelligence and data visualization software. Tableau offers a wide array of developer tools and APIs for integration, customization, automation, and extension of Tableau features for organization-specific needs.

In this instructor-led, live training, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization.

By the end of this training, participants will be able to:

- Install and configure Tableau (Desktop, Server, Online)
- Understand the fundamentals of developing with Tableau
- Create and publish data visualizations and interactions with Tableau
- Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.
bdbigaBig Data Business Intelligence for Govt. Agencies35 hoursAdvances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information.

High-value government solutions will be created from a mashup of the most disruptive technologies:

- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics

IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.

But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.

The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.

The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.

Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).

Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.
tableaupythonTableau with Python14 hoursTableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases.

In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.

By the end of this training, participants will be able to:

- Integrate Tableau and Python using TabPy API
- Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
tbladvTableau Advanced14 hoursTableau helps people see and understand data.
tableauvraVisual Reporting and Analysis with Tableau7 hoursTableau helps people see and understand data.
tableau1Data analysis with Tableau14 hoursTableau helps people see and understand data.
pentahoPentaho Open Source BI Suite Community Edition (CE)28 hoursPentaho Open Source BI Suite Community Edition (CE) is a business intelligence package that provides data integration, reporting, dashboards, and load capabilities.

In this instructor-led, live training, participants will learn how to maximize the features of Pentaho Open Source BI Suite Community Edition (CE).

By the end of this training, participants will be able to:

- Install and configure Pentaho Open Source BI Suite Community Edition (CE)
- Understand the fundamentals of Pentaho CE tools and their features
- Build reports using Pentaho CE
- Integrate third party data into Pentaho CE
- Work with big data and analytics in Pentaho CE

Audience

- Programmers
- BI Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.
qlikviewforbusinessQlikView for Business Users7 hoursQlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making.

In this instructor-led, live training, participants will learn how to use QlikView to support decision making in their organization.

By the end of this training, participants will be able to:

- Install and configure QlikView
- Analyze and display data using QliKView
- Use data discoveries from QlikView to support decision making

Audience

- Managers
- Business users

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.
qlikviewfordevQlikView for Developers14 hoursQlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making.

In this instructor-led, live training, participants will learn how to start developing with QlikView.

By the end of this training, participants will be able to:

- Install and configure QlikView
- Transform data from various sources through QlikView scripting
- Build data models with QlikView

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.
bigdatabicriminalBig Data Business Intelligence for Criminal Intelligence Analysis35 hoursAdvances in technologies and the increasing amount of information are transforming how law enforcement is conducted. The challenges that Big Data pose are nearly as daunting as Big Data's promise. Storing data efficiently is one of these challenges; effectively analyzing it is another.

In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.

By the end of this training, participants will be able to:

- Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation
- Implement industrial big data storage and processing solutions for data analysis
- Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation

Audience

- Law Enforcement specialists with a technical background

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
datameerDatameer for Data Analysts14 hoursDatameer is a business intelligence and analytics platform built on Hadoop. It allows end-users to access, explore and correlate large-scale, structured, semi-structured and unstructured data in an easy-to-use fashion.

In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources.

By the end of this training, participants will be able to:

- Create, curate, and interactively explore an enterprise data lake
- Access business intelligence data warehouses, transactional databases and other analytic stores
- Use a spreadsheet user-interface to design end-to-end data processing pipelines
- Access pre-built functions to explore complex data relationships
- Use drag-and-drop wizards to visualize data and create dashboards
- Use tables, charts, graphs, and maps to analyze query results

Audience

- Data analysts

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
JasperSoftBIJasperSoft BI14 hoursJasperReports is an open-source reporting library that can be embedded into any Java application. JasperReports Server is a Java EE web application with advanced reporting capabilities, including scheduling and permissions.

In this instructor-led, live training, participants will learn to view and interact with business data as well as create and design reports and dashboards that are viewable on phones and tablets.

By the end of this training, participants will be able to:

- Set up and configure a JasperSoft ETL project
- Design and run an ETL job
- Use iReport to generate charts, images, sub-reports, and cross tabs

Audience

- BI analysts
- ETL developers
- Database professionals

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
TalendDITalend Open Studio for Data Integration 28 hoursTalend Open Studio for Data Integration is an open-source data integration product used to combine, convert and update data in various locations across a business.

In this instructor-led, live training, participants will learn how to use the Talend ETL tool to carry out data transformation, data extraction, and connectivity with Hadoop, Hive, and Pig.

By the end of this training, participants will be able to

- Explain the concepts behind ETL (Extract, Transform, Load) and propagation
- Define ETL methods and ETL tools to connect with Hadoop
- Efficiently amass, retrieve, digest, consume, transform and shape big data in accordance to business requirements
- Upload to and extract large records from Hadoop (optional), Hive (optional), and NoSQL databases

Audience

- Business intelligence professionals
- Project managers
- Database professionals
- SQL Developers
- ETL Developers
- Solution architects
- Data architects
- Data warehousing professionals
- System administrators and integrators

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.
powerbiPower BI14 hoursPower BI is a business analytics service created by Microsoft.
bdbitcspBig Data Business Intelligence for Telecom and Communication Service Providers35 hoursOverview

Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month.

Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored.

With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.)

This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain.

Course objectives

Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:

- Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective
- How Big Data analytic differs from legacy data analytic
- In-house justification of Big Data -Telco perspective
- Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem
- How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach
- Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco
- Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies
- Network failure and service failure analytics from Network meta-data and IPDR
- Financial analysis-fraud, wastage and ROI estimation from sales and operational data
- Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data
- Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space
- Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization

Target Audience

- Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office.
- Business Analysts in Telco
- CFO office managers/analysts
- Operational managers
- QA managers
datascienceintroA Practical Introduction to Data Science35 hoursParticipants who complete this training will gain a practical, real-world understanding of Data Science and its related technologies, methodologies and tools.

Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class.

The course starts with an introduction to elemental concepts of Data Science, then progresses into the tools and methodologies used in Data Science.

Audience

- Developers
- Technical analysts
- IT consultants

Format of the Course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.

Upcoming Data Analysis Courses

CourseCourse DateCourse Price [Remote / Classroom]
Data Analytics With R - Ottawa - 343 PrestonWed, Sep 5 2018, 9:30 amCA$7350 / CA$9480
NLP: Natural Language Processing with R - Mississauga - AirwaysWed, Sep 5 2018, 9:30 amCA$6350 / CA$8240
Data analysis with Tableau - London - London City CentreWed, Sep 5 2018, 9:30 amCA$4300 / CA$6120
Zeppelin for interactive data analytics - Scarborough – 10 Milner Business CourtWed, Sep 5 2018, 9:30 amCA$4300 / CA$6100
Advanced Python - Vancouver - Park PlaceTue, Sep 11 2018, 9:30 amCA$8400 / CA$10560
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Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
PostgreSQL for Administrators Victoria - The Atrium Mon, Aug 27 2018, 9:30 am CA$4257 / CA$5897
D3.js for Data Visualization Toronto - Toronto Street Fri, Sep 7 2018, 9:30 am CA$2228 / CA$3923
Nato Architecture Framework (NAF) London - London City Centre Mon, Sep 10 2018, 9:30 am CA$9405 / CA$11705
Lua Fundamentals Halifax - Purdy's Wharf Thu, Sep 27 2018, 9:30 am CA$3870 / CA$5760
Drupal 8 for Developers Vancouver - Park Place Mon, Oct 15 2018, 9:30 am N/A / CA$6130
Haskell Fundamentals Ottawa – Albert & Metcalfe Tue, Nov 27 2018, 9:30 am CA$3870 / CA$5690

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