Learn from Home Offer
Learn from Home Offer
DATA SCIENTIST Course Bundle - 150 Courses in 1
608+ Hours of HD Videos
Verifiable Certificate of Completion
* One Time Payment & Get Lifetime Access
What you get in this DATA SCIENTIST Course Bundle - 150 Courses in 1?
Course Completion Certificates
Mobile App Access
About Data Scientist Course Canada
|Course Name||Online Data Scientist Course Canada|
|Deal||You get access to all videos for the lifetime|
|Hours||608+ Video Hours|
|Core Coverage||You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science.|
|Course Validity||Lifetime Access|
|Eligibility||Anyone serious about learning data science and wants to make a career in analytics|
|Pre-Requisites||Basic knowledge of data and analytics|
|What do you get?||Certificate of Completion for the course|
|Certification Type||Course Completion Certificates|
|Verifiable Certificates?||Yes, you get verifiable certificates for each150 course, Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills|
|Type of Training||Video Course – Self Paced Learning|
|System Requirement||1 GB RAM or higher|
|Other Requirement||Speaker / Headphone|
Data Scientist Course in Canada Curriculum
MODULE 1: Data Science with Python Essentials Training
Courses No. of Hours Certificates Details Machine Learning with Python 2023 5h 19m ✔ Machine Learning with Python Case Study - Covid19 Mask Detector 2h 05m ✔ Deep Learning: Automatic Image Captioning for Social Media with Tensorflow 2h 23m ✔ Supervised Machine Learning in Python 8h 37m ✔ Predictive Analytics and Modeling with Python 8h 27m ✔ Matplotlib for Python Data Visualization - Beginners 4h 12m ✔ Matplotlib for Python Data Visualization - Intermediate 2h 53m ✔ Matplotlib for Python Data Visualization - Advanced 6h 37m ✔ Pandas with Python Tutorial 5h 47m ✔ NumPy and Pandas Python 5h 01m ✔ Pandas Python Case Study - Data Management for Retail Dataset 3h 25m ✔ Python Case Study - Sentiment Analysis 1h 06m ✔ Data Science with Python 4h 14m ✔ Artificial Intelligence with Python - Beginner Level 2h 51m ✔ Artificial Intelligence with Python - Intermediate Level 4h 36m ✔ AI Artificial Intelligence & Predictive Analysis with Python 6h 15m ✔ Video Analytics using OpenCV and Python Shells 2h 13m ✔ Machine Learning using Python 3h 26m ✔ Statistics Essentials with Python 3h 23m ✔ Project on Tensorflow - Implementing Linear Model with Python 1h 46m ✔ Project - Data Analytics with Data Exploration Case Study 5h 7m ✔ Random Forest Algorithm using Python 1h 29m ✔
MODULE 2: Data Science with R & Python Essentials Training
Courses No. of Hours Certificates Details Seaborn Python - Beginners 2h 28m ✔ Seaborn Python - Intermediate 1h 18m ✔ Seaborn Python - Advanced 1h 56m ✔ PySpark Python - Beginners 2h 3m ✔ PySpark Python - Intermediate 2h 05m ✔ PySpark Python - Advanced 1h 14m ✔ Machine Learning Python Case Study - Diabetes Prediction 1h 03m ✔ R Studio UI and R Script Basics 4h 12m ✔ R Programming for Data Science | A Complete Courses to Learn 5h 7m ✔ Logistic Regression & Supervised Machine Learning with R 4h 14m ✔ Decision Trees Modeling using R 1h 4m ✔ Project on ML - Churn Prediction Model using R Studio 1h 22m ✔ Financial Analytics in R - Beginners 3h 53m ✔ Financial Analytics in R - Intermediate 1h 28m ✔ Financial Analytics in R - Advanced 1h 35m ✔ R for Finance - Beginners to Beyond 2h 17m ✔ Comprehensive Course on R 3h 54m ✔ Time Series Analysis and Forecasting using R 4h 23m ✔ Project - Fraud Analytics using R 2h 34m ✔ Project - Marketing Analytics using R and Microsoft Excel 2h 9m ✔ Machine Learning with R 20h 28m ✔ Case Study - Customer Analytics using Tableau and R 2h 7m ✔ Case Study - Pricing Analytics using Tableau and R 2h 39m ✔ Business Analytics using R - Hands-on! 16h 21m ✔ Project - Market Basket Analysis in R 37m ✔ Project - Hypothesis Testing using R 3h 6m ✔ Data Visualization with R Shiny - The Fundamentals 39m ✔ Data Science with R 6h 2m ✔ R Studio Anova Techniques Course 2h 18m ✔
MODULE 3: Data Science with SAS Essentials Training
Courses No. of Hours Certificates Details SAS Business Analytics for Beginners 10h 45m ✔ Predictive Analytics & Modeling with SAS 9h 19m ✔ Quantitative Finance with SAS 3h 29m ✔ SAS Statistics 8h 18m ✔ SAS ODS (Output Delivery System) 9h 36m ✔ SAS PROC SQL 13h 49m ✔ SAS Macros 7h 25m ✔ SAS Advanced Analytics 12h 22m ✔ SAS Graph 2h 1m ✔ SAS DS2 4h 59m ✔ SAS SQL 3h 01m ✔ SAS Practical - Macros 5h 5m ✔ SAS Advanced Programming 10h 7m ✔ SAS Categorical Data Analysis 7h 16m ✔ Certified SAS Base Programmer 12h 2m ✔ SAS Features for Starters 1h 5m ✔ SAS PROC SQL Features 1h 49m ✔
MODULE 4: Big Data & Hadoop
Courses No. of Hours Certificates Details Big Data and Hadoop Training | Online Hadoop Course 2h 9m ✔ Hadoop Architecture and HDFS 6h 13m ✔ MapReduce - Beginners 3h 34m ✔ MapReduce - Advanced 5h 35m ✔ Hive - Beginners 2h 47m ✔ Hive - Advanced 5h 11m ✔ PIG - Beginners 2h 1m ✔ PIG - Advanced 2h 13m ✔ NoSQL Fundamentals 2h 01m ✔ Mahout 3h 51m ✔ Apache Oozie 2h 13m ✔ Apache Storm 2h 4m ✔ Apache Spark - Beginners 1h 5m ✔ Apache Spark - Advanced 6h 14m ✔ Splunk Fundamentals 8h 33m ✔ Splunk Advanced 01 - Knowledge Objects 9h 29m ✔ Splunk Advanced 02 - Administration 39h ✔
MODULE 5: Learning from Projects & Practicals
Courses No. of Hours Certificates Details Project on Hadoop - Sales Data Analysis 47m ✔ Project on Hadoop - Tourism Survey Analysis 53m ✔ Project on Hadoop - Faculty Data Management 35m ✔ Project on Hadoop - E-Commerce Sales Analysis 35m ✔ Project on Hadoop - Salary Analysis 49m ✔ Project on Hadoop - Health Survey Analysis using HDFS 56m ✔ Project on Hadoop - Traffic Violation Analysis 1h 25m ✔ Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce 2h 33m ✔ Project on Hadoop - Case Study on Telecom Industry using HIVE 2h 2m ✔ Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce 53m ✔ Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop 3h 34m ✔ Project on Hadoop - Sensor Data Analysis using HIVE/PIG 5h 26m ✔ Project on Hadoop - Youtube Data Analysis using PIG/MapReduce 3h 02m ✔ Hadoop and HDFS Fundamentals on Cloudera 1h 22m ✔ Project on Hadoop - Log Data Analysis 1h 32m ✔ SPSS 2023 - Beginners 1h 07m ✔ SPSS 2023 - Advanced 5h 22m ✔ Advanced SPSS Project: Impact of EMI on Home Loan 43m ✔ Advanced SPSS Project: Impact of Total Turnover in Equity Market 58m ✔ Advanced SPSS Project: Impact of Trade Data in Equity Market 46m ✔ SPSS GUI and Applications 1h 13m ✔ SPSS - Correlation Techniques 1h 8m ✔ Linear Regression & Supervised Learning with SPSS 3h 07m ✔ SPSS - Multiple Regression Modeling 2h 34m ✔ Logistic Regression & Supervised Learning using SPSS 2h 37m ✔ SPSS - Multinomial Regression 2h 2m ✔ SPSS GUI for Statistical Analysis 2h ✔ Tableau Desktop Training 2023 4h 21m ✔ Tableau Project-Creating Dashboard and Stories For Financial Markets 2h 08m ✔ Tableau Project - Russo-Ukraine War A Data Analytical Review 1h 02m ✔ Tableau 4h 7m ✔ BI Tools and Tableau Analytics 5h 38m ✔ Business Intelligence with Tableau 5h 43m ✔ Tableau Features Hands-on! 5h 32m ✔ Tableau Practical - Super Store Business Requirements 45m ✔ Analytics using Tableau 8h 9m ✔
MODULE 6: Minitab and MATLAB
Courses No. of Hours Certificates Details Minitab for Beginners - 2023 1h 15m ✔ Advanced Minitab Training - 2023 4h 39m ✔ Minitab Practical - Impact of Predictors on Response 1h 36m ✔ Statistical Analysis using Minitab - Beginners to Beyond 4h 21m ✔ Minitab GUI and Descriptive Statistics 2h 43m ✔ ANOVA in Minitab 52m ✔ Correlation Techniques in Minitab 2h 18m ✔ Project on Minitab - Regression Modeling 9h 36m ✔ Minitab Predictive Modeling using Excel 55m ✔ MATLAB - Beginners 3h 9m ✔ MATLAB - Intermediate 47m ✔ MATLAB - Advanced 4h 1m ✔
MODULE 7: Database & SQL
Courses No. of Hours Certificates Details Oracle SQL 17h 32m ✔ Oracle PLSQL 13h 2m ✔ Oracle DATABASE Admin DBA 1 Course 9h 27m ✔ Machine Learning ZERO to HERO - Hands-on with Tensorflow 13h 28m ✔ Deep Learning ZERO to HERO - Hands-on with Python 10h 8m ✔ Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression 2h 07m ✔ Project on R - HR Attrition and Analytics 2h 4m ✔ Logistic Regression using SAS Stat 4h 26m ✔ Linear Regression & Supervised Learning in Python 2h 28m ✔ Logistic Regression & Supervised Machine Learning in Python 2h 6m ✔ Project on R - Card Purchase Prediction 2h 28m ✔ Develop a Movie Recommendation Engine 51m ✔ Random Forest Techniques and R - Employee Attrition Prediction 1h 6m ✔ Predictive Analytics Model for Term Deposit Investment using CART Algorithm 1h 38m ✔ Poisson Regression with SAS Stat 2h 21m ✔ Machine Learning Project using Caret in R 1h 58m ✔ Sales Forecasting using Time Series Analysis in Python 2h 13m ✔
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
Who is a Data Scientist?
The data scientist can be described as an expert with huge amounts of data to extract useful information from it. A data scientist uses many information-processing techniques. We generally use languages such as python and R that have a good understanding of different frameworks. A data scientist’s core role is to process the data through the application of algorithms and unique methods. He also understands technologies such as MatLab, Hadoop, Splunk, etc. The organization which handles much data is required to make the decision.
In the graphical representation, the data scientists can also produce data, making decision-making too easy. They also know how to conduct mathematical calculations based on statics that support the data processing, as well as the programming abilities and knowledge of several techniques. In reality, they transform the mathematical form into an algorithm to process the data and produce useful data.
Which Skills will you learn in this Course?
This Data Scientist Course in Canada includes all the elements you need to know to be a data scientist. Because the topics are python-based, you can learn more about python and certain frameworks. You’ll also learn the R language programming which data scientists need. You will also learn to work on other software such as Splunk, MatLab, SAS, Minitab, image, etc. The course also includes the project module introduced to give you real skills. You will all be a data scientist in all the units that are covered in this course, and these are your skills.
- There are certain preconditions for certain courses that must be met to proceed. But in this situation, we have nothing as a requirement, but certain technologies will promote training for you.
- is the first thing. The software designed for data processing in Python is built using different frameworks. If you know how to code Python and R you will be very helpful. Apart from that, some of the tools or technologies can help you to be a data scientist. A basic understanding of technologies such as Hadoop, Minitab, MatLab, and Splunk should be found.
- Everyone trying to learn can be the best target audience for any course and the same implies to this Data Scientist Course in Canada. The best audience for this training can be professionals interested in expanding their careers in the field of data science. Upon completing this course, you will get to learn various new things and be rewarded in the interviews or current work. The students who are ready to be a data scientist in the final year of their studies will start their career in this course. Since this Data Scientist Course in Canada focuses mainly on the practical side, the students will learn a lot of new things in their academics.
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.
- This Data Scientist Course in Canada includes all the modules that someone prepared to develop his or her
- requires. You can learn advanced new technologies, as this course covers all the subjects that fall within the Data Science Court. The important part of this training is that you know how the project in data science is done in combination with the learning component because every system or software has a project module. You can work as a data scientist after completing this Data Scientist Course in Canada and can also manage work on your own in the manufacturing environment. You may wish to become involved in the area of data science if you are looking for a rewarding career that offers better competitions.
Data science with python
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