Data Science Course in Canada

About Data Science

In today's AI-driven economy, data scientists with computational abilities are in high demand to build, design, and implement models and tools for data-driven decision-making. Companies employ data science and artificial intelligence (AI) for marketing decisions, targeted customer suggestions, determining profitable insurance coverage, and giving individualized financial advice. Data Science Course in Canada covers fundamental and advanced methods in statistical inference, machine learning, data visualization, data mining, and big data, all of which are required skills for a successful data scientist. We require a basic background in Mathematics (calculus, linear algebra), Statistics (probability and basic statistics), and Software Development to be admitted to the program (programming, data structures, and algorithms). This Data Science Training in Canada consists of ten three-credit courses. The program curriculum includes tools such as R for statistical analysis and Tableau for data visualization, as well as the Python programming language and associated data science libraries. Students work on homework assignments and projects that involve combined concepts and applications on actual statistics, with support from the lecturer and teaching assistants.

What is Data Science all about?
Data science course in Canada is a discipline that employs methodological approaches, protocols, procedures, and systems that extract data and resources from data from multiple sources, and then applies that information and actionable data across a wide range of application areas. Data mining, machine learning, and big data are all linked to information science. It makes use of techniques and theories from a wide range of disciplines, including mathematics, statistics, information science, information science, and industry knowledge. In contrast, data science courses are separate from computer science and information science. A Diploma in Data Scientists is a part-time data science certification course completed by a working professional to improve the methodology and tools used in a company's analytical and data science processes. The purpose of the course is to help students develop statistical programming skills that will lead to a career in business. The two-year Postgraduate Diploma in Data Science degree programme teaches students how to create strong methodological foundations in analytical statistics, how to perform statistical consultations, and how to use a variety of techniques, skills, and tools. A candidate who successfully completes this Data Science course not only expands their working job application, but also opens doors to positions including such as Software Engineer, Business Analyst, Data Analyst, Data Engineer, Data Design professional, Data Mining Engineer, Research Analyst, Predictive Analytics Analyst, Analytics Manager, and so forth.

Why Should You Pursue Diploma in Data Science?
Data on market demand
Data Scientist is a job that is causing quite a stir due to the huge demand for it all around the world. According to a McKinsey & Company study, the US will have 140,000 to 180,000 less data scientists than it requires by 2018. The need for data scientists is increasing, yet the supply is insufficient. By 2018, India would require over 200,000 data scientists, compared to engineers and chartered accountants. With 11.5 million new employment predicted to be created by 2026, it is the fastest growing career on Linkedin. As a result, Data Science is a highly sought-after job path.

Good salary
According to Glassdoor, the highest paying field to enter in 2016 was data science. According to their findings, the national average salary for a Data Scientist in India is INR 6,50,000, while the national average salary in the US is $1,20,931. The national average salary for a Data Scientist in Europe is €52,000. As a result, Data Science is a lucrative career path.

Added Value to the Company
They are doing well in every field, from information technology to health care, E-commerce to marketing and retail. Data Scientists play an important role in serving as a trusted adviser and strategic partner to management because data is a company's most valuable asset. They mine the data for valuable resources that will help with the skill development of students.

Which Canadian city is the best for data science?
Toronto, Montreal, and Vancouver are all excellent places to work in data science. Many large corporations are headquartered in these locations, and Montreal and Toronto also have excellent institutions for studying Data Science.

Master of Science in Data Science and Big Data
Data Science and Big Data master's degrees sometimes overlap and teach students how to work with massive amounts of data. However, each discipline's goal and tools are distinct. Big Data is concerned with all information that cannot be processed by ordinary database systems. The 5 Vs are the simplest way to determine whether specific data may be labelled as Big Data (Volume, Velocity, Variety, Veracity, and Value). Data Science, on the other hand, is concerned with analysing data and generating meaningful insights for a certain person, business, or industry. Data Scientists must also translate their findings into presentations or reports that clients or broad audiences can understand.

Online Classes

Students are increasingly pursuing solely online Data Science course in Canada. SevenMentor Pvt. Ltd. provides effective online courses. Our instructors keep track of the students' progress. On the online Data Science training in Canada, our technology, software, and networking themes are well-trained. Our examinations and grasp of how to apply it will be successful. The placement cell places students 100 percent of the time.

Corporate Training

Taking a corporate Data Science course in Canada with SevenMentor Institute can help employees improve their skill set. They can improve their performance in their existing occupations by improving their practical skills and knowledge. The productivity of a company is crucial. The productivity of a corporation can be boosted by skilled staff. Our professors are professionals in a wide range of topics. This can help with employee growth and training.