Data Analytics – Knowledge Center

10 WEEKS

15 MODULES

4 PROJETCS

1K LEARNERS

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About the Bootcamp

The outburst of data is transforming businesses. Companies – big or small – are now expecting their business decisions to be based on data-led insight. Data specialists have a tremendous impact on business strategies and marketing tactics.

The demand for data specialists is on the rise while the supply remains low, thus creating great job opportunities for individuals within this field.

Today, it is almost impossible to find any brand that does not have a social media presence; soon, every company will need data analytics professionals. This
makes it a wise career move that has a future in business.

So here is a course that will help you to become Data Analyst, Business Analyst, BI Analyst, BI Developer, Power BI Developer, Tableau Developer, etc.

The course covers all the skills required for the above job role in detail.

PROGRAM DETAILS

Program Duration

The duration of the Program will be delivered 10 Weeks. There will be 2 classes per week

Classes Details

Every Saturday: 10:00 AM - 12:00 PM Every Sunday: 10:00 AM - 12:00 PM

Program Fee

Please contact our team for Pricing, ISA, Scholarships and Financial Aid available.

Program Curriculum

Our curriculum development team analyses the 100's of job postings in the local and international markets, followed by a discussion with hiring managers to keep the focus on the area more relevant to you and companies.

Modules

Module 1 - PYTHON FOR DATA ANALYSIS

Do you know that to enter the field of Data Science & Analytics, learning a programming language is must!!

This comprehensive course will be your guide to learn Python from scratch, and even will be introducing you to various mostly used libraries into Machine Learning & Data Science
such as Pandas, NumPy, Matplotlib, Seaborn etc. to analyze data, create beautiful visualizations, and use powerful machine learning algorithms for Data Analytics!

This course is designed in such a way that even someone with zero programming knowledge can learn with ease, and jump into the field of Data Science & Analytics.

Module 2: STATISTICS FOR DATA ANALYTICS

Data Analytics is all about statistical analysis and learning. In this module, we are going to learn about different statistical concepts which are not important for Data Analytics and also from an interview point of view.

In data science, statistics is at the core of sophisticated machine learning algorithms, capturing and translating data patterns into actionable evidence. Data scientists use
statistics to gather, review, analyze, and draw conclusions from data, as well as apply quantified mathematical models to appropriate variables.

Module 3: SQL FOR DATA ANALYTICS

This course will turn you into a SQL query wizard. You’ll learn the skills you need to extract critical insight from data sitting in a database. After completing the course and all of it’s assignments, I promise you, you’ll never be afraid to look at a large SQL query again.

Just like my other courses, I follow the no-student-left behind principle; which means that I start from the very basics. You do not need any prerequisites to take this course. We move step by step into more advanced topics as we delve into the world of advanced querying techniques using subqueries, aggregations, joins, window functions, transposing & ranking data and using conditional expressions in very interesting ways.

Module 4: EXCEL FOR DATA ANALYTICS

Microsoft Excel is one of the most powerful and popular data analysis desktop applications on the market today. Having a deep practical knowledge of Excel will greatly increase your productivity. You will be seen as a very skilled business data analyst in the organization. And will lead to much greater opportunities for you.

Excel is the number-one spreadsheet application, with a plethora of capabilities. If you’re only using the basic features, you’re missing out on a host of features that can benefit your business by uncovering important information hidden within raw data. This Excel Data Analysis course allows you to harness the full power of Excel to do all the heavy lifting for you.

Module 5: POWER BI

You want to analyze data from single or multiple sources? You want to create your individual datasets based on these sources and transform your results into beautiful and easy-to-make visualizations? You also want to share your results with colleagues or collaborate on your projects? Finally, you want to be able to access your data from multiple devices?

Then the Power BI tools are the tools to choose for you!

In this course you will learn why Power BI offers you a comprehensive set of Business Intelligence tools for your data analysis goals and how to use these tools to fulfill all of the above tasks – and more.

Module 6: TABLEAU

Tableau is the solution that thousands of companies use today as they struggle with their big data issues.Working with Tableau isn’t just lucrative – it’s fun! And unlike most data analysis tools, Tableau uses a drag and-drop interface, so you don’t need to be a programmer to learn Tableau.

This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease. To be able to find trends in your data and make accurate forecasts, you’ll learn how to work with data extracts and time series. Also, to make data easier to digest, you’ll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations.

Module 7: PREDICTIVE ANALYTICS

Predictive analytics is a branch of advanced analytics that makes predictions about future outcomes using historical data combined with statistical modeling, data mining techniques, and machine learning. Companies employ predictive analytics to find patterns in this data to identify risks and opportunities.

In this course, you will learn about some of the most popular predictive modeling techniques and their underlying principles. By taking this course, you will form a solid foundation in predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data.

Module 8: ETL AND DATA WAREHOUSE FOR DATA ANALYTICS

ETL, which stands for extract, transform, and load, is the process data engineers use to extract data from different sources, transform the data into a usable and trusted resource, and load that data into the systems end-users can access and use downstream to solve business problems.

A data warehouse is specially designed for data analytics, which involves reading large amounts of data to understand relationships and trends across the data.

For a Data Analyst, it is important to know and understand some basics of Data Warehouse, Data Lake, and ETL processes to know where and how the data comes to your hand. This course will help you understand them clearly.

Capstone Project

To put your learnings and analytics skills into action you’ll have the opportunity to complete a few capstone projects for a month, which will help prepare you for the data analytics job hunt. Case studies are commonly used by employers to assess analytical skills. For your case study, you’ll choose an analytics-based scenario. And also will help you have a clear understanding of EDA, data visualizations and Predictive Modelling, the key skill set for a Data Analyst

Is this Bootcamp for you? Then Join Us Right Away!

Your Mentors

Meet Your Mentors

We choose our mentors from global market leaders with a rigorous selection process. Our mentors keep you motivated and on track. And they ensure your success.

Lead Data Consultant

Satyajit

Data Analytics Training FAQs

Does Knowledge Center help with job placements?

The answer to this question is a big YES. It’s a very central question to our philosophy and as I said, for Knowledge Center there’s only one definition of success and that is ‘Your success is our success’, once you get a job, that’s a successful event for Knowledge Center.

What are pre-requisites to learn Data Analytics?

Data Analytics involves analyzing data and drawing meaningful insights from it. Critical thinking skills are important to be able to ask the right questions and interpret data correctly.

Is there any Certification required for the Data Analytics?

There is no official certification required to become a data analyst, but there are many certifications available that can help you demonstrate your skills and knowledge to potential employers like Google or AWS Certifications.

How much salary will a Beginner Data Analyst Engineers get in Canada?

According to job market data, the average salary for a beginner data analyst in Canada is approximately $70,000 to $90,000 CAD per year. However, this can vary significantly depending on the factors mentioned above.