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Get this Data Analytics course in Canada from IIT Roorkee faculty and industry experts and master the skills like Data Visualization with Excel, Excel Power Tools, SQL, and Visualization using Power BI. After finishing this Data Analytics course, you will be certified by iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee).
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In this online Data Analytics certification in Canada, you will gain in-depth knowledge of the following topics:
Data Analyst is among the most sought-after career options in today’s technologically advanced world. Numerous job opportunities are available in this domain, which is one of the main reasons you can opt for this career option.
So, enroll in our Data Analytics courses in Canada and land your dream job as Data Analyst.
You do not need to have any prior skills to take up this course. Although, having some knowledge of statistics, probability, and data analysis before signing up for this course can be helpful.
Those who are eligible to sign up for this Data Analytics course in Canada are as follows:
Following are a few of the reasons why you should become a Data Analyst in Canada:
So, enroll for the best Data Analytics course in Canada and land your dream job as Data Analyst.
According to Glassdoor, the average income of a Data Analyst in the United States is about US $62,453 per annum. This may increase to US$95,000 per annum with more experience and better work quality.
In India, the average salary of these professionals is approximately ₹503,000 per annum and with more experience, it can rise to ₹1,005,000 per annum
Here are a couple of differences between Data Scientists, Data Analysts, and Business Analysts:
Today Data Analytics is one of the top domains as we are living in a data-driven world. If you want to get ahead in your career, then you need to learn Data Analytics as it is being deployed in every organization regardless of the industry. Through this online training by iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee), and Intellipaat, you will work on real-world Data Analytics projects and case studies so that you can get hands-on experience in this domain.
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Who can apply for the Data Analytics course?
What roles does a Data Analyst play?
Create predictive models like churn likelihood, and customer lifetime value, and help the team implement these models accordingly.
Develop models concerning the numerous cost components that power the various margin awareness initiatives.
Maintain the specifications of data engineering and meet the objectives of online data visualization platforms, such as Alteryx and Tableau.
Build attractive, interactive, and intuitive data visualizations, including reports, graphs, presentations, and dashboards.
Identify, build, and execute the techniques of Data Analysis to allow the team to make significant impacts on the business.
Generate detailed reports and dashboards of high quality, and give presentations.
SQL
Data Wrangling
Data Analysis
Prediction algorithms
Data visualization
Time Series
Machine Learning
Power BI
Advanced Statistics
Data Mining
R Programming
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Making use of time series data, gathering insights and useful forecasting solutions using time series forecasting.
Business Domains – Learn about various business domains and understand how one differs from the other.
Understanding the business problems and formulating hypotheses – Learn about formulating hypotheses for various business problems on samples and populations.
Exploratory Data Analysis to Gather Insights – Learn about exploratory data analysis and how it enables a foolproof producer of actionable insights.
Data Storytelling: Narrate stories in a memorable way – Learn to narrate business problems and solutions in a simple relatable format that makes it easier to understand and recall.
Case Study
This case study will cover the following concepts:
Projects will be a part of your Data Analyst program to consolidate your learning. It will ensure that you have real-world experience in Data Analytics.
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your upskilling.
Get assistance in creating a world-class resume & LinkedIn profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage
Students will go through several mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.
Placement opportunities are provided once the learner is moved to the placement pool upon clearing the Placement Readiness Test (PRT)
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners, including top start-ups and product companies, are hiring our learners. Mentored support on job search and relevant jobs for your career growth.
Our Data Analytics courses are created by experts from top MNCs for professionals to get the top jobs in the best organizations. Further, this Data Analytics online course includes real-time projects and case studies that are highly valuable in the corporate world.
You will receive the Data Analyst Course certification from Intellipaat and iHUB IIT Roorkee after completing the Course program. Along with that, you will also be able to clear the following certifications:
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Intellipaat’s Data Analytics course in Canada in association with iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee) is an industry-designed course, designed for you to fast-track your career in the domain of data analytics. If you don’t want to get into the nitty-gritty of programming and spend long hours in coding necessary for becoming a Data Analyst, then Intellipaat’s courses on Data Analytics are for you.
The online Data Analytics courses involve the following:
Some of the best courses are Big Data, Data Science Certification, Machine Learning, Artificial Intelligence, Python, Python for Data Science, and Business Analytics Course.
If you are looking for free resources on Data Analytics then read our blogs on Data Analytics tutorial, Data Analytics Interview Questions, and also visit our Youtube channel for free videos.
Data Analysis is the process of data cleaning, transformation, and reporting carried out to generate valuable information that can enable business decision-making.
The tools used for Data Analysis make the tasks of data processing, data manipulation, data analysis, and pattern and trend identification much easier. Some of the top Data Analysis tools are:
Data Analytics: Data Analytics involves the process of discovering, interpreting, visualizing, and reporting the patterns in data that can drive business strategy, decisions, and outcomes.
Data Analysis: Data Analysis is a subset of the broader field of Data Analytics. Data Analysis consists of specific actions such as data cleaning, transformation, modeling, and questioning to help find useful information from a single and already prepared set of data.
Data Analysts: Data Analysts are those professionals who come up with meaningful insights from the data. They have both the technical expertise and the communication skills to derive and present quantitative findings to technical and non-technical teams, clients, and stakeholders.
A career in the Data Analytics domain is not just a good career option but one of the most popular careers today. You can find jobs in this domain across a diverse range of industries and companies around the globe by completing a Master’s in Data Analytics.
As per the Bureau of Labor Statistics, the estimated growth rate for Data Analytics professionals will shoot up by 23% by the year 2026.
To become a Data Analyst, you must have the following qualifications:
For becoming a Data Analyst, you should meet the following criteria:
You can attain all the necessary skills, gain real-time experience, and receive a certification with the help of Intellipaat’s Data Science with Python.
Having a college degree in the field of mathematics, probability, or computer science can definitely be beneficial. However, it is not mandatory for you to have the same. The main requirement of becoming a Data Analyst is that you need to possess the necessary skills in this domain. So, having a degree by enrolling yourself in Data Science training courses can help you immensely, however, it is still a secondary requirement.
Intellipaat provides you with the most updated, relevant, and high-value projects as part of this training program. This way, you can implement the knowledge and skills that you have acquired in a real-world industry setup. All our training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on exciting projects in the domain of the latest technologies, e-commerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equivalent to 6 months of rigorous industry experience.
Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.
Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
Apparently, no. Our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.