Data Analyst Certification Course in Toronto, Canada

IBM is a leading cloud platform and cognitive solutions company. Since 1911, they are known as the largest technology and consulting employer globally, with more than 350,000 employees who work with clients in 170 countries. Simplilearn and IBM’s collaboration delivers a once-in-a-lifetime experience, helping them transcend in Data Science, AI, and other related innovative technologies. This Data Analyst course in Toronto will turn out to be quite fruitful for the students who wish to build their careers in Data Science. 

IBM, along with Watson, is working on an AI platform for business, powered by data and trying to build industry-based solutions for real-world problems. It's been seven decades since IBM has (and still continues to) defined the future of Information Technology with more than 3000 researchers in 12 labs located across six continents. 

What can I expect from this Simplilearn's Data Analyst program developed in collaboration with IBM?

Once you complete your Data Analyst course in Toronto, you’ll be given a course completion certificate from IBM and Simplilearn. This certificate verifies that you have concluded your data analyst training in this Data Analyst course in Toronto, and will benefit you in your career. You will also have these things with you if you complete the course -

1. Access to IBM cloud platforms that feature IBM Watson and other software.
2. Industry-recognized Data Scientist Master’s certificate from Simplilearn.
3. USD 1200 worth of IBM cloud credits that you can use for hands-on exposure.

This Data Analyst course in Toronto by Simplilearn in collaboration with IBM will give you expertise in this booming data analytics stream. The Data Analyst training in Toronto helps you become a pro in descriptive and inferential statistics, forecasting, regression analysis, data extracts, data blending, and hypothesis testing. You will also have insights on data visualization techniques by using Tableaus and Power BI and learning ways to organize data and design dashboards.

On the other hand, the program also focuses on non tech workforce to give them an idea about the technicalities. In this Data Analyst training in Toronto, you will understand basic concepts of Mathematics and how to apply them.

This learning method provides you with a thorough understanding of Data Analytics with demos and projects via CloudLab, and when you complete this Data Analyst training in Toronto, you will be a bonafide Data Analyst.

This Data Analyst course in Toronto has been designed to help you fulfill the company's expectations and prove yourself to be a good data analyst. As you complete this Data Analyst training in Toronto you will be able to:

1. Learn all the concepts like measures of central tendency, dispersion, correlation, and regression.
2. Excel in SQL concepts like Universal Query Tool and SQL command.
3. Code in Python by using variables, strings, functions, loops, and conditions.
4. Understand the details of Python's lists, sets, dictionaries, conditions and branching, objects, and classes.
5. Work on data consisting of Python, which includes reading and writing files, loading, working, and saving data with Pandas.
6. Convert data in Python by using multi-dimensional arrays in NumPy, manipulate DataFrames in Pandas, use SciPy library of Mathematical routines, and implement learning by using Scikit-Learn.
7. Work as data analytics by using Python libraries.
8. Know several data visualization libraries in Python, which also has Matplotlib, Seaborn, and Folium.
9. Know the basics of R in-depth, and then write your R scripts.
10. Excel in R programming and know about the ways of implementing statements in R.
11. Know, understand, and use linear and non-linear regression models and different classification methodologies for data analysis.
12. Understand and then implement the clustering methods, which include K-means, DBSCAN, and hierarchical clustering.
13. Know about the foundations of business analytics using Excel.
14. Know the latest Microsoft analytics and visualization tools(Power BI).
15. Excel in the concepts of Tableaus Desktop 10, become familiar with Tableau statistics, and make engaging desktops.
16. Excel in visualization techniques like a heat map, treemap, waterfall, Pareto, Gantt chart, and market basket analysis.
     

This Data Analyst course in Toronto comes with 15+ real world industry projects so that you can bring practical experience in business analytics and intelligence to the table. This Data Analyst training in Toronto consists of projects like:

Project 1: Analyse how big MNCs like Amazon and Flipkart implement business intelligence tools to use category analysis.
Project Title - Category of Performance Analysis
Description - As per the Performance Evaluation Program, the subcategories that give a continuous profit for the last four years are announced as the Best Performing Subcategories. Assist the manager in recognizing the major subcategories by looking at the profits and using dashboard features that give an entire picture for subcategory sales. 

Project 2: Know and understand how stock markets such as NASDAQ, NSE, and BSE leverage data science and analytics to become data that can be used from complex datasets.
Domain - Stock Market
Description - In this project, you will give Yahoo a data reader for companies like Yahoo, Apple, Amazon, Microsoft, and Google. You will be able to do fundamental analytics, which consists of plotting closing price, plotting stock trade by volume, doing everyday return analysis, and using pair plots to correlate all stocks.

Project 3: Check how banks like Citigroup, Bank of America, ICICI, and HDFC use data science to thrive in the market.
Domain - Banking
Description - A Portuguese banking institute gave a marketing campaign to make the potential customers invest in a bank term deposit. They did their campaigns through phone calls, and there were also times when the same customer was connected twice. Your job will be to analyze the data that has been collected from the marketing campaign.

Project 4: Know and understand how top healthcare industry leaders use data science to increase their business.
Domain - Healthcare
Description - Predictive analytics are used in the healthcare industry for hospital readmissions. In this sector, predictors play a very important role as they can be transferred into action, but at the same time, only real-time data won't help without intervention. To gauge the effectiveness and value of forecasting a trend and its fluctuating patterns, both the analysis and the intervention need to be consolidated into the same system where the trend started.

Project 5: Learn how top retail companies such as Walmart and Target use data science to analyze their product placements and inventory.
Domain - Retail
Description - Analytics is a tool used to analyze product placements on shelves or evaluate inventory that is to be kept in the warehouse by using industry examples. In this project, candidates will get to know the product evaluation cycle from shelves to the warehouse. This will help in knowing regular occurrences in the retail sector.

Project 6: Know and understand how insurance leaders such as Berkshire Hathaway, AIG, and AXA use data science by working on a real-life insurance-based project.
Domain - Insurance
Description - Predictive analytics is being used a lot in insurance businesses, especially by MNCs. All the candidates from companies that write over $1 billion in personal insurance make use of predictive modeling. It has helped the insurance companies in expanding their business in the best way possible.

Professionals in any industry and a knack for analysis should take up this Data Analyst training in Toronto and secure an excellent job with the help of this Data Analyst course in Toronto. One can be from:

1. IT Sector
2. Bank and Finance 
3. Marketing
4. Sales
5. Supply Chain Networking
6. Beginners in the Data Analytics field
7. Students in UG/PG program 

Learners who wish to succeed in the Data Analyst course in Toronto and certification training should have basic mathematics skills.

By taking the Data Analyst course in Toronto, one will have the essential data analysis skills to secure their dream job as an acclaimed Data Analyst. Various job titles are:

• Analytics Manager or lead
• Data Analyst
• Business Intelligence Analyst
• Business Intelligence Engineer 
• Business Analyst/Senior Business Analyst
• Various managerial roles

According to the World Economic Forum, by 2022, Data Analysts will be one of the top jobs in the market. Companies and organizations look at Data Analysis as one of the significant factors as it consists of playing with data, which can help any organization earn millions. Even though data analysis is in high demand, due to lack of awareness, there is a significant skill gap in data analytics, meaning that there are plenty of career opportunities in this field.

As per the IBM report, data analytics jobs will increase demand in Finance, Insurance, and Information Technology streams. Glassdoor said in 2019 that the average salary of a Data Analyst is $67,377.