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

85 Online Courses

67 Hands-on Projects

660+ Hours

Verifiable Certificate of Completion

Lifetime Access

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4.8 (16,919 ratings)

 

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Python Data Scientist Courses (18 Courses)

2

Python Data Scientist Projects (6 Projects)

3

R Programming Data Scientist Courses (12 Courses)

4

R Programming Data Scientist Projects (11 Projects)

5

SAS Data Scientist Courses (9 Courses)

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Home Data Science Data Science Courses Data Scientist Course in Canada

What you get in this Data Scientist Course in Canada?

Online Classes
Technical Support
Mobile App Access
Case Studies

About Data Scientist Course Canada

CourseNo. of Hours
Machine Learning with Python 20225h 15m
Project on Machine Learning - Covid19 Mask Detector2h 05m
Machine Learning Project - Auto Image Captioning for Social Media2h 23m
Machine Learning with SciKit-Learn in Python8h 37m
Machine Learning Python Case Study - Predictive Modeling8h 27m
Matplotlib for Python Developers - Beginners4h 12m
Matplotlib for Python Developers - Intermediate2h 52m
Matplotlib for Python Developers - Advanced6h 37m
Pandas with Python Tutorial5h 47m
NumPy and Pandas Python5h 01m
Pandas Python Case Study - Data Management for Retail Dataset3h 28m
Python Case Study - Sentiment Analysis1h 06m
Data Science with Python4h 14m
Artificial Intelligence with Python - Beginner Level2h 49m
Artificial Intelligence with Python - Intermediate Level4h 36m
AI Artificial Intelligence with Python6h 15m
Video Analytics using OpenCV and Python Shells2h 13m
Machine Learning using Python3h 26m
Statistics Essentials with Python3h 23m
Project on Tensorflow - Implementing Linear Model with Python1h 46m
Project - Data Analytics with Data Exploration Case Study5h 7m
Project on ML - Random Forest Algorithm1h 29m
Seaborn Python - Beginners2h 28m
Seaborn Python - Intermediate1h 18m
Seaborn Python - Advanced1h 56m
PySpark Python - Beginners2h 3m
PySpark Python - Intermediate2h 05m
PySpark Python - Advanced1h 14m
Machine Learning Python Case Study - Diabetes Prediction1h 03m
R Studio UI and R Script Basics4h 9m
R Programming for Data Science | A Complete Courses to Learn5h 7m
R Practical - Logistic Regression with R4h 18m
Project - Decision Tree Modeling using R1h 44m
Project on ML - Churn Prediction Model using R Studio1h 22m
Financial Analytics in R - Beginners3h 5m
Financial Analytics in R - Intermediate1h 28m
Financial Analytics in R - Advanced1h 35m
R for Finance - Beginners to Beyond2h 17m
Comprehensive Course on R3h 54m
Project on R - Forecasting using R4h 34m
Project - Fraud Analytics using R & Microsoft Excel2h 34m
Project - Marketing Analytics using R and Microsoft Excel2h 9m
Machine Learning with R20h 28m
Case Study - Customer Analytics using Tableau and R2h 7m
Case Study - Pricing Analytics using Tableau and R2h 39m
Business Analytics using R - Hands-on!16h 21m
Project - Market Basket Analysis in R37m
Project - Hypothesis Testing using R3h 6m
Data Visualization with R Shiny - The Fundamentals39m
Data Science with R6h 2m
R Studio Anova Techniques Course2h 18m
SAS Business Analytics for Beginners10h 42m
Predictive Modeling with SAS Enterprise Miner9h 21m
Quantitative Finance with SAS3h 29m
SAS Statistics8h 18m
SAS ODS (Output Delivery System)9h 08m
SAS PROC SQL13h 49m
SAS Macros7h 38m
SAS Advanced Analytics12h 34m
SAS Graph2h 1m
SAS DS25h 2m
SAS SQL3h 03m
SAS Practical - Macros5h 12m
SAS Advanced Programming11h 24m
SAS Categorical Data Analysis7h 26m
Certified SAS Base Programmer12h 2m
SAS Features for Starters1h 5m
SAS PROC SQL Features1h 53m
Big Data and Hadoop Training | Online Hadoop Course2h 3m
Hadoop Architecture and HDFS6h 13m
MapReduce - Beginners3h 34m
MapReduce - Advanced5h 35m
Hive - Beginners2h 47m
Hive - Advanced5h 11m
PIG - Beginners2h 1m
PIG - Advanced2h 13m
NoSQL Fundamentals2h 01m
Mahout3h 51m
Apache Oozie2h 13m
Apache Storm2h 4m
Apache Spark - Beginners1h 5m
Apache Spark - Advanced6h 14m
Splunk Fundamentals8h 33m
Splunk Advanced 01 - Knowledge Objects9h 29m
Splunk Advanced 02 - Administration39h
Project on Hadoop - Sales Data Analysis47m
Project on Hadoop - Tourism Survey Analysis53m
Project on Hadoop - Faculty Data Management35m
Project on Hadoop - E-Commerce Sales Analysis35m
Project on Hadoop - Salary Analysis49m
Project on Hadoop - Health Survey Analysis using HDFS56m
Project on Hadoop - Traffic Violation Analysis1h 25m
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce2h 33m
Project on Hadoop - Case Study on Telecom Industry using HIVE2h 2m
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce53m
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop3h 34m
Project on Hadoop - Sensor Data Analysis using HIVE/PIG5h 26m
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce3h 02m
Hadoop and HDFS Fundamentals on Cloudera1h 22m
Project on Hadoop - Log Data Analysis1h 32m
SPSS 2022 - Beginners1h 05m
SPSS 2022 - Advanced5h 22m
Advanced SPSS Project: Impact of EMI on Home Loan43m
Advanced SPSS Project: Impact of Total Turnover in Equity Market58m
Advanced SPSS Project: Impact of Trade Data in Equity Market46m
SPSS GUI and Applications1h 13m
SPSS - Correlation Techniques1h 8m
SPSS - Linear Regression Modeling3h 08m
SPSS - Multiple Regression Modeling2h 34m
SPSS - Logistic Regression2h 01m
SPSS - Multinomial Regression2h 2m
SPSS GUI for Statistical Analysis2h
Tableau Desktop Training 20224h 17m
Tableau Project-Creating Dashboard and Stories For Financial Markets2h 08m
Tableau Project - Russo-Ukraine War A Data Analytical Review1h 02m
Tableau4h 7m
BI Tools and Tableau Analytics5h 38m
Business Intelligence with Tableau5h 43m
Tableau Features Hands-on!5h 32m
Tableau Practical - Super Store Business Requirements45m
Analytics using Tableau9h 29m
Minitab for Beginners - 20221h 12m
Advanced Minitab Training - 20224h 39m
Minitab Practical - Impact of Predictors on Response1h 36m
Statistical Analysis using Minitab - Beginners to Beyond4h 27m
Minitab GUI and Descriptive Statistics2h 43m
ANOVA in Minitab53m
Correlation Techniques in Minitab2h 21m
Project on Minitab - Regression Modeling9h 54m
Minitab Predictive Modeling using Excel55m
MATLAB - Beginners2h 58m
MATLAB - Intermediate47m
MATLAB - Advanced4h 1m
Oracle SQL17h 32m
Oracle PLSQL13h 2m
Oracle DATABASE Admin DBA 1 Course9h 27m
Machine Learning with Tensorflow13h 29m
Hands-on Deep Learning Training10h 8m
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression2h 07m
Project on R - HR Attrition and Analytics2h 43m
Logistic Regression using SAS Stat4h 28m
Linear Regression in Python2h 28m
Python Data Science Case Study - Predicting Survival of Titanic Passengers2h 6m
Project on R - Card Purchase Prediction2h 28m
Machine Learning Python Case Study - Develop Movie Recommendation Engine51m
R Practical - Employee Attrition Prediction using Random Forest Technique and R1h 6m
Project on Term Deposit Prediction using Logistic Regression CART Algorithm1h 38m
Poisson Regression with SAS Stat2h 22m
Machine Learning Project using Caret in R1h 58m
Time Series Analysis in Python - Sales Forecasting2h 12m
Course Name Online Data Scientist Course Canada
Deal You get access to all videos for the lifetime
Hours 660+ 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 each85 course, 67 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
Software Required None
System Requirement 1 GB RAM or higher
Other Requirement Speaker / Headphone

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 Science Course in Canada

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.

Pre-requisites

    • 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.

Python programming

    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.

Target Audience

    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.

Sample Preview


  • Seaborn-Statistical Data Visualization

    Seaborn-Statistical Data Visualization

    06.51
  • pandas series

    pandas series

    05.36
  • Creating Pie Charts

    Creating Pie Charts

    06.03
  • Decision Tree Classifier

    Decision Tree Classifier

    06.57
  • Hadoop Commands

    Hadoop Commands

    06.43
  • Union and Split Operators in Pig

    Union and Split Operators in Pig

    05.19
  • Analyze Book Performance By Reviews Using Code

    Analyze Book Performance By Reviews Using Code

    07.07
  • Install Software to Work with Iot

    Install Software to Work with Iot

    11.07
  • Static IP Configuration

    Static IP Configuration

    06.51
  • Default Parameters in Functions

    Default Parameters in Functions

    08.25

Career Benefits

      • This Data Scientist Course in Canada includes all the modules that someone prepared to develop his or her

    data science career

      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.

Reviews


 

Data Science Course in Canada review 1

Testimonials

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

 

 

Data Science Course in Canada review 2

Testimonials

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

 

 

Data Science Course in Canada review 3

Testimonials

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

 

 

Data Science Course in Canada review 4

Testimonials

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

 

 

Data Science Course in Canada review 5

Testimonials

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

 

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CoursesNo. of Hours
Machine Learning with Python 20225h 15m
Project on Machine Learning - Covid19 Mask Detector2h 05m
Machine Learning Project - Auto Image Captioning for Social Media2h 23m
Machine Learning with SciKit-Learn in Python8h 37m
Machine Learning Python Case Study - Predictive Modeling8h 27m
Matplotlib for Python Developers - Beginners4h 12m
Matplotlib for Python Developers - Intermediate2h 52m
Matplotlib for Python Developers - Advanced6h 37m
Pandas with Python Tutorial5h 47m
NumPy and Pandas Python5h 01m
Pandas Python Case Study - Data Management for Retail Dataset3h 28m
Python Case Study - Sentiment Analysis1h 06m
Data Science with Python4h 14m
Artificial Intelligence with Python - Beginner Level2h 49m
Artificial Intelligence with Python - Intermediate Level4h 36m
AI Artificial Intelligence with Python6h 15m
Video Analytics using OpenCV and Python Shells2h 13m
Machine Learning using Python3h 26m
Statistics Essentials with Python3h 23m
Project on Tensorflow - Implementing Linear Model with Python1h 46m
Project - Data Analytics with Data Exploration Case Study5h 7m
Project on ML - Random Forest Algorithm1h 29m
Seaborn Python - Beginners2h 28m
Seaborn Python - Intermediate1h 18m
Seaborn Python - Advanced1h 56m
PySpark Python - Beginners2h 3m
PySpark Python - Intermediate2h 05m
PySpark Python - Advanced1h 14m
Machine Learning Python Case Study - Diabetes Prediction1h 03m
R Studio UI and R Script Basics4h 9m
R Programming for Data Science | A Complete Courses to Learn5h 7m
R Practical - Logistic Regression with R4h 18m
Project - Decision Tree Modeling using R1h 44m
Project on ML - Churn Prediction Model using R Studio1h 22m
Financial Analytics in R - Beginners3h 5m
Financial Analytics in R - Intermediate1h 28m
Financial Analytics in R - Advanced1h 35m
R for Finance - Beginners to Beyond2h 17m
Comprehensive Course on R3h 54m
Project on R - Forecasting using R4h 34m
Project - Fraud Analytics using R & Microsoft Excel2h 34m
Project - Marketing Analytics using R and Microsoft Excel2h 9m
Machine Learning with R20h 28m
Case Study - Customer Analytics using Tableau and R2h 7m
Case Study - Pricing Analytics using Tableau and R2h 39m
Business Analytics using R - Hands-on!16h 21m
Project - Market Basket Analysis in R1h 3m
Project - Hypothesis Testing using R3h 6m
Data Visualization with R Shiny - The Fundamentals1h 6m
Data Science with R6h 2m
R Studio Anova Techniques Course2h 18m
SAS Business Analytics for Beginners10h 42m
Predictive Modeling with SAS Enterprise Miner9h 21m
Quantitative Finance with SAS3h 29m
SAS Statistics8h 18m
SAS ODS (Output Delivery System)9h 08m
SAS PROC SQL13h 49m
SAS Macros7h 38m
SAS Advanced Analytics12h 34m
SAS Graph2h 1m
SAS DS25h 2m
SAS SQL3h 03m
SAS Practical - Macros5h 12m
SAS Advanced Programming11h 24m
SAS Categorical Data Analysis7h 26m
Certified SAS Base Programmer12h 2m
SAS Features for Starters1h 5m
SAS PROC SQL Features1h 53m
Big Data and Hadoop Training | Online Hadoop Course2h 3m
Hadoop Architecture and HDFS6h 13m
MapReduce - Beginners3h 34m
MapReduce - Advanced5h 35m
Hive - Beginners2h 47m
Hive - Advanced5h 11m
PIG - Beginners2h 1m
PIG - Advanced2h 13m
NoSQL Fundamentals2h 01m
Mahout3h 51m
Apache Oozie2h 13m
Apache Storm2h 4m
Apache Spark - Beginners1h 5m
Apache Spark - Advanced6h 14m
Splunk Fundamentals8h 33m
Splunk Advanced 01 - Knowledge Objects9h 29m
Splunk Advanced 02 - Administration39h
Project on Hadoop - Sales Data Analysis0h 8m
Project on Hadoop - Tourism Survey Analysis0h 9m
Project on Hadoop - Faculty Data Management0h 58m
Project on Hadoop - E-Commerce Sales Analysis0h 59m
Project on Hadoop - Salary Analysis1h 22m
Project on Hadoop - Health Survey Analysis using HDFS1h 34m
Project on Hadoop - Traffic Violation Analysis1h 25m
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce2h 33m
Project on Hadoop - Case Study on Telecom Industry using HIVE2h 2m
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce1h 29m
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop3h 34m
Project on Hadoop - Sensor Data Analysis using HIVE/PIG5h 26m
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce3h 02m
Hadoop and HDFS Fundamentals on Cloudera1h 22m
Project on Hadoop - Log Data Analysis1h 32m
SPSS 2022 - Beginners1h 05m
SPSS 2022 - Advanced5h 22m
Advanced SPSS Project: Impact of EMI on Home Loan1h 12m
Advanced SPSS Project: Impact of Total Turnover in Equity Market1h 38m
Advanced SPSS Project: Impact of Trade Data in Equity Market1h 18m
SPSS GUI and Applications1h 13m
SPSS - Correlation Techniques1h 8m
SPSS - Linear Regression Modeling3h 08m
SPSS - Multiple Regression Modeling2h 34m
SPSS - Logistic Regression2h 01m
SPSS - Multinomial Regression2h 2m
SPSS GUI for Statistical Analysis2h
Tableau Desktop Training 20224h 17m
Tableau Project-Creating Dashboard and Stories For Financial Markets2h 08m
Tableau Project - Russo-Ukraine War A Data Analytical Review1h 02m
Tableau4h 7m
BI Tools and Tableau Analytics5h 38m
Business Intelligence with Tableau5h 43m
Tableau Features Hands-on!5h 32m
Tableau Practical - Super Store Business Requirements1h 16m
Analytics using Tableau9h 29m
Minitab for Beginners - 20221h 12m
Advanced Minitab Training - 20224h 39m
Minitab Practical - Impact of Predictors on Response1h 36m
Statistical Analysis using Minitab - Beginners to Beyond4h 27m
Minitab GUI and Descriptive Statistics2h 43m
ANOVA in Minitab1h 28m
Correlation Techniques in Minitab2h 21m
Project on Minitab - Regression Modeling9h 54m
Minitab Predictive Modeling using Excel1h 32m
MATLAB - Beginners2h 58m
MATLAB - Intermediate1h 19m
MATLAB - Advanced4h 1m
Oracle SQL17h 32m
Oracle PLSQL13h 2m
Oracle DATABASE Admin DBA 1 Course9h 27m
Machine Learning with Tensorflow13h 29m
Hands-on Deep Learning Training10h 8m
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression2h 07m
Project on R - HR Attrition and Analytics2h 43m
Logistic Regression using SAS Stat4h 28m
Linear Regression in Python2h 28m
Python Data Science Case Study - Predicting Survival of Titanic Passengers2h 6m
Project on R - Card Purchase Prediction2h 28m
Machine Learning Python Case Study - Develop Movie Recommendation Engine1h 26m
R Practical - Employee Attrition Prediction using Random Forest Technique and R1h 6m
Project on Term Deposit Prediction using Logistic Regression CART Algorithm1h 38m
Poisson Regression with SAS Stat2h 22m
Machine Learning Project using Caret in R1h 58m
Time Series Analysis in Python - Sales Forecasting2h 12m

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