Data science course in Canada

Data science course in Canada

964 Digital provides the best, Data science course courses in Canada. It is all about learning data analysis and science. As a matter of fact, Canada is the fastest growing country in software development. In fact, creating job opportunities and handsome salaries. The number of data scientists has been doubled in the last four years. Surprisingly, Canada and still facing a shortage. The average annual income of a data scientist’s salary is 60000cad. The best part is, Various training institutes are situated across the country. Because Canada is the most favorite destination of all students from all over the world due to its high standard of living. Prospects are much better than any other country.

However, short-term Data science course in Toronto by 964 Digital training institutes, are also available for those who want to upgrade themselves in their current profile. International students need to score 73% in their bachelor’s degree in addition to desired IELTS score. 964 digital is one of the renowned institutes which offers data science training in Canada to succeed in their respective field.

What is data science course in canada?

Undoubtedly, The data science course program is designed for all working professionals in the field of software. It covers all topics including R, Python, Machine, and deep learning algorithms. It is all about data management. Also, the demand for data scientists has been rising constantly in recent years. However, supply is less, hence organizations are in great need of data analysts and scientists. Furthermore, if we talk about data analysts or data scientists. Both are working with data but in a slightly different manner. If anyone wishes to start then data analyst would be a better option. later on, they can switch to data science followed by learning advanced techniques.

There are various data science and analytics courses in Canada are available in different territories. Additionally, you can go ahead with short term data science course in Canada. The basic academic qualification to be a data analyst is graduation in fields like mathematics, computer science, analytics, or finance.

What all will you learn?

As we all know data science is the most challenging and in-demand career. There are two models are covered under this segment The first module is data analytics and the second is data science. Furthermore, If we talk about data analytics course in Canada, various courses are available. Data analytics is concerned with basic knowledge of data management. Secondly, Data science is all about advanced skills. You will be able to learn the following aspects.

Concept of data science course in canada

In fact, data science is the combination of statistics, mathematics, and scientific methods using a wide range of tools for preparing and evaluating data. In fact, Those who practice data science are called data scientists. Any data is an asset to any business but should be processed in an effective way in order to get profitability. In short, we can say that data science is about focusing on data and collecting meaningful insight for the growth of the business.

Work Profile of a data scientist

The methodology consists of the following steps

  • To begin with, Identifying and resolve the problem
  • Data collection and requirments
  • Understanding significant data
  • Moreover,generating and evaluating models

Creates hands-on skills using the tools and languages.

Initially, Hands-on exercises hold a similar position in the field of software development. In addition, Various tools and languages are implemented to manage data. Time spent on practicals is more important than learning theory. The most important skill in learning a new language Is the learning toolchain.

Understanding data sets, analyzing and visualizing data

In continuation, visualizing data is mainly used to present the visuals. It is all about the creation of interactive visuals to understand the meaningful data presentation. basically, it is all about the depiction of inclining or declining trends. delivering data in a specific way in a graphical and presentable manner is always beneficial to the organization.

Data acquisition: learning about various methods of acquiring data.

Data acquisition is the process of accumulating, filtering, and cleaning data before the data is being put into storage. so that data can be secured anyhow. Additionally, you will gain the skills of learning python programming, cloud database, SQL, model selection.

Complete Syllabus of data science course in canada

Comprises of seven modules

1.Python for data science

  • Fundamentals of python, Data types in python
  • Data types in python
  • Operators in python
  • Input/output
  • Control statements
  • Numpy arrays
  • Functions in python
  • Data visualisation
  • Modules and packages
  • Data analysis in python
  • Modules and packages
  • Data visualisation using seaborn.

2.Statistical methods

  • Introduction to statistics.
  • Stastical terms.
  • Measures ofcentral tendency.
  • Probability.
  • Measures of shape.
  • Measures of dispersion or variability.
  • Application of varianceor STD.
  • Probability distributions.
  • Hypothesis testing.
  • Anova.

3. Tableau

  • Introduction to tableau.
  • Creating pivot table.
  • Data blending.
  • Cross data base joins.
  • Calculations on data.
  • Data visualisations in tableau.
  • Dashboard creation.

4. Machine learning in artificial intelligence

  • Exploratory data analysis(EDA)
  • Outliersand and their treatment
  • Supervised learning VS unsupervised learning
  • Feature extractionand conversion
  • Regression models
  • Classification models
  • Unsupervised learning
  • Association rule learning
  • Model selection .

5. Deep learning in artificial intelligence

  • Introduction to deep learning
  • Activation functions
  • Creating neuralnetwork in python
  • Tensorflow and keras
  • Ann in tensorflow and keros
  • Convolutional neural network(CNN)
  • Recurrent neuralnetwork(RNN)

6. Natural language processing in artificial intelligence.

  • NLP concepts
  • Feature extraction
  • Text classification using NLP

7. Computer visions in artificial intelligence

  • Object detaection by computer

8. Data analytics using SQL

  • SQL: Understanding RDBMS.
  • Utilising the object explorer.
  • Database object creations(DDL COMMANDS).
  • Data manipulation (DML Commands).
  • Finally, Accessing data frommultiple tables using select.

9. R – Programing

  • Most importantly, R provides objects, operators and functions.
  • Visualize and model data.
  • In addition, It is Used to store, handle and analyze data.
  • R provides environment for stasitical analysis.

10. Advanced Excel

  • Significantly, It is the most important tool in data science.
  • It is for more complex caculations.
  • Making spreadsheets.
  • Graphing and automation efficiently.

11. Power BI

  • Basically, It is for controlling the vast flow of business information outside and inside of organisation.
  • It is all in one powerful advanced level tool for data analytics part.
  • In short, it is Used for data manipulation, and working on data.

Data science certification

significantly, The most important aspect is certification. If talk about the best data science course in Canada, Techedo is a favorite institute for the majority of students. We offer a six-month program for learners which provides in-depth training. It is for both modules data science and data analytics. We, Techedo, a well-known institute provide certification as well. The certificate is well recognized throughout the industry. Based on that certificate you can apply for government jobs too. Advance level certification is also provided on completion of an additional one-month program. For data analysts, there is a separate certification that helps you to apply for a data analytics job. Later on, you can earn certification for data scientist on completion of a one-month of additional training. However, apart from certification, your determination matters a lot in your job towards your learning skills.

Data science various modules in Canada

In continuation to the duration, of course, fees of the course vary on the type of course you are pursuing. Also as an important aspect, However, a pocket-friendly fee structure is designed for the students. Generally, for six months duration of the course, the fee is 500 cad (can be paid in two installments as well). Fees are the same for both options online and offline. However, fees for the data analytics course are 400cad. As compared to other institutes fee structure is quite reasonable in Techedo. In addition, 100% job assistance and placement are provided. Fees for other training courses you can find on our website i.e. Techedo.

Types of data scientist

Basically, the following are the specified segments under which you can put yourself.

  • Machine learning scientist
  • data analytics consultant
  • Mathematician
  • Software programing analyst
  • Statistician
  • information technology
  • Ecommerce
  • bussiness analytics

Job Responsibilities of data science in canada

Data scientists need to :

  • At begning, Acquire data and work closely with your business to rectify issues and also use data to find out solutions for effective decision making.
  • building algorithms and design experiments to merge, manage and extract data to supply scipted reports to colleagues, customers or the wider organisation.
  • Generally, Data scientist work closely with data with bussiness houses with the help of machine learning tools and statistical techniques.
  • Mining models to select the most appropriate ones for use on a project.
  • Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.
  • Analyze the effectiveness of data sources and data-gathering techniques and improve data collection methods.
  • Scan to stay up to date with the latest technology, techniques and methods.
  • Additionally, conduct research from which you’ll develop prototypes and proof of concepts.
  • Furthermore, looking for job opportunities to use functions in the organisation (for example in the HR and marketing departments).
  • Equally importantis, stay learner and challenging about using algorithms to resolve problems and encourage others to see the benefit of your work.

Various data science job titles.(step by step)

Data scientist;

Create algorithms and manage data to perform custom analysis depending on the requirement of the organization

Data analyst;

Identify bigger data sets and use them to reach significant conclusions.

Data engineers;

Compared to Data scientists, data engineers need to be more technical, they have to clean, accumulate and organize data and transfer it to warehouses.

Business intelligence analysts;

Identify and implement trends data