Data Scientist Course in Canada (85 Courses, 67+ Projects)

About Data Scientist Course Canada

Data Scientist Course in Canada Curriculum

This training program has been very carefully designed and developed to fulfill the requirements of everyone willing to learn Data Science, people regardless of their knowledge of any data science element. Python derived units are the main part of the course. You learn how python is used in these units to work with large quantities of data to produce useful information. You can learn about Python’s special libraries with numerous features and the user can extend the features in the application. You will also learn about R programming, another important part of data science. Many program features are implemented using the language of R programming and you will learn them in this Data Scientist Course in Canada. However, via SAS you will also learn about data science and take part in the live campaign. The learning and the project part are available for all subjects included in this course. The project helps you to understand the internal workings of the system through the technologies or techniques described above.

The course provides you with a deep knowledge of modules such as SPSS, Minitab, Hadoop, Tableau. The approach, which is considered as data science, is endorsed by every topic defined here. Finally, before you finish your course you will be able to get to know Matlab and Splunk so that you can learn all aspects of data science. Along with the topics, projects are being developed for each technology or tool that has been introduced in this Data Scientist Course in Canada to help you get hands-on experience. During the time you practice your task, you will learn about the real-time problems in the production environment and overcome these problems can help you to understand the technology deeply.

Data Scientist Course – Certificate of Completion

Data Scientist Course Canada – FAQ’s

Why should you study data science in Canada?

Organizations in India are exponentially expanding their eCommerce & online service.

Organizations look for candidates who have extensive experience working with the data and help them obtain accurate information. As a data scientist in India, it’s much more competitive because of the high demand for skilled data scientists. There are huge job opportunities in the current labor market and the near future, the number will grow rapidly.

You may choose to take this Data Scientist Course in Canada that will improve your data science skills if you want to use the highly demanding software.

How long is the validation period?

This Data Scientist Course in Canada credentials is valid for a lifetime. It is necessary to change all the certificates. You can also take further advanced courses to increase your understanding and help you develop your career.

How long is this Data Science Course going to take?

It is generally recommended 10 -15 hours a week. Time to complete the course may differ, but the majority of students can complete the course in 6 to 7 months if they are given 10 – 15 hours a day

Will the course obtain a certificate?

Yeah, that’s right. The Data Science course is awarded to all those students who successfully pass the course along with project completion and who earn a lifetime validity certificate.

What is the Data Science market trend in Canada?

It’s not long since strong growth has been recorded by data science. Canada is big with a population of lakhs and most of them use the internet to produce huge knowledge. Businesses in Canada required specialized and extensive technology to handle this information, and that was the time when data science made its debut in Canada. A few years ago, this technology was not so demanding, but at the same time it is highly demanded in Canada and virtually all of the industries need the expert in data science. The phenomenon is already booming and is to be intensified shortly.

Sample Preview

• 

  Seaborn-Statistical Data Visualization

  06.51
• 

  pandas series

  05.36
• 

  Creating Pie Charts

  06.03
• 

  Decision Tree Classifier

  06.57
• 

  Hadoop Commands

  06.43

• 

  Union and Split Operators in Pig

  05.19
• 

  Analyze Book Performance By Reviews Using Code

  07.07
• 

  Install Software to Work with Iot

  11.07
• 

  Static IP Configuration

  06.51
• 

  Default Parameters in Functions

  08.25

Reviews

 

Data science with python

The course goes through the different areas of data science with python. Besides a fundamental theory regarding the explained concepts, the diverse concepts are exemplified with short python programs. The lessons are good to understand and the programs presented to illustrate and implement the concepts are simple and significant.
Linked

Jorge Giro

 

Business Analytics using R

The data scientist course was very comprehensive and covered in detail the business analytics using R. The tutor used clear English and explained very carefully the different topics of the course. It is very rare to find a course online that covers that much information going from the basics of statistics to the application of R to business analytics. I think this is a competitive advantage of the course since the majority of this kind of courses available online are made for people who already know statistics or even some knowledge about the software itself, but this Data scientist course tried to cover them all which made very comfortable for me as a student.
Linked

Abderrahmane Friha

 

Amazing First Sashay with Customer Analytics

If you’re looking to dipping your toes into customer analytics, this Data scientist course is a good first start. It provides the foundation knowledge for customer analytics from mapping out the customer lifecycle and drilling down on what needs to be down per phase of the said lifecycle. I need to note that the data scientist training course explains from a bank / financial service standpoint, though this I feel allows the course to explain the concepts better instead of not having any examples at all.
Linked

Acee Vitangcol

 

Great content

Amazing material put together, it goes in-depth with functions on Excel, R, and SAS. I like the complexity and the level of knowledge especially the Excel area. If you are looking to analyze data regularly using excel 2010, or similar platforms such as R, this training is full of great content at a very high level.
Linked

Jorge Dominguez

 

Good Introduction to Marketing Analytics

It is a good Introduction to Marketing Analytics. It lists the typical activities carried out in the practice of predictive analytics. Furthermore, it helps to define how to make analytics more efficient, lists the type of models that are used in marketing and digital marketing, and some hints on the leading vendors of predictive analytics.
Linked

Ricardo Garibay-Martínez