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Data Analytics and Visualization Boot Camp




GAIN THE SKILLS TO BECOME A DATA ANALYTICS AND VISUALIZATION PRO
Microsoft Certified: Power BI Data Analyst AssociateThe Data Analytics and Visualization Boot Camp is an intensive training program developed in collaboration with industry experts to ensure you meet and exceed industry demands and challenges. You will gain immersive data science training that perfectly blends theoretical knowledge and practical exercises—all in six months or less! 

In the data visualization training component of this data analytics boot camp, use tools like Excel and Power BI to visualize data in a variety of styles. You will also achieve proficiency in Python basics, SQL querying, and Microsoft Fabrics, preparing you for top entry-level data analytics-related roles. 

You will engage in various projects that simulate real-world challenges and scenarios—and have access to online labs to gain practical experience navigating data analysis tools, technologies, and scenarios. The final project serves as tangible evidence, demonstrating your competency to prospective employers.  

The material required to prepare for the Microsoft Certified: Power BI Data Analyst Associate certification exam (exam code: PL-300) is also covered, with two weeks of dedicated study time.
 

 
  
JOB OUTLOOK FOR DATA ANALYSTS
 
  • The U.S. Bureau of Labor Statistics (BLS) reports that selected data-related occupations are projected to grow faster than the 5% average for all occupations by 2031. Data scientists are projected to have the fastest employment growth (36%) of these data-related roles. These workers help organizations gather, organize, and analyze large amounts of data and information.
  • On the other hand, Indeed.com states that as of June 24, 2024, the average salary for a data analyst is $78,138 per year in the U.S. Current Glassdoor data shows that the average salary for a Power BI analyst is $99,476 per year.

DATA ANALYTICS AND VISUALIZATION BOOT CAMP FAQs

What is a data analyst? What do they do?
Indeed.com reports that data analysts work with data to help companies improve the valuable aspects of their business operations, such as efficiency and productivity. They gather, analyze, and structure the data to derive invaluable insights. The responsibilities of a data analyst include:
  • Analyzing and organizing data from various sources
  • Maintaining databases and data systems
  • Developing data collection systems and databases for efficiency
  • Interpreting data trends using statistical techniques
  • Identifying process improvement opportunities
  • Working with management to prioritize information and business needs
  • Filtering and cleaning data
  • Preparing reports on trends and predictions
Who should enroll in the Data Analytics and Visualization Boot Camp?
The Data Analytics and Visualization Boot Camp is for anyone looking to stand out to employers and increase their earning potential in the field of data analysis. You are expected to commit 20-25 hours per week, including reading course materials, reviewing lectures, and conducting research as necessary. Familiarity with basic computer operations (file management, software installation, system navigation, etc.) is recommended.
 
How will the training sessions be conducted?
Learning is entirely online and self-paced to suit your schedule. You will have access to interactive video lessons, labs for real-world practice, discussion boards to engage with peers, and live one-on-one coaching sessions with an industry expert instructor.
 
What kind of support will I get during the boot camp?
You can contact the boot camp instructor by email to discuss any queries and to seek feedback on your progress. You may also receive support from a team of industry experts. A student advisor may also be assigned for educational support.
 
Will I receive any certificate after completing the Data Analytics and Visualization Boot Camp?
Yes, you will be awarded a certificate of completion upon successfully completing your final exam.
 

COURSE OBJECTIVES
 
  • Gain proficiency in the data analysis process, from data gathering to sharing insights, utilizing tools like Excel and Python for data cleaning, transformation, and analysis
  • Develop interactive dashboards and reports using Excel and Power BI, enabling data-driven decision-making based on quantitative insight
  • Acquire essential skills in Python programming, including variables, data types, operators, and leveraging built-in modules and libraries for extended functionality
  • Learn SQL querying techniques for efficient data retrieval, modification, and structured data organization to maintain integrity
  • Train for two primary entry-level job roles in the data analytics and visualization sector: Power BI analyst and Data analyst
  • Prepare for the Microsoft Certified: Power BI Data Analyst Associate certification exam (exam code: PL-300)
 
 
PREREQUISITES AND CERTIFICATION REQUIREMENTS

Students should possess a fundamental understanding of basic computer operations, such as file management (ability to create, rename, move, and delete files and folders), software installation (proficiency in installing and uninstalling software is essential, this includes understanding the process of downloading software, running installation wizards, and managing software updates), and system navigation (ability to navigate the operating system interface with ease).

To successfully complete the boot camp program, you are expected to dedicate a minimum of 20-25 hours per week. This time commitment includes activities such as reading course materials, reviewing video lectures, and conducting additional research as necessary
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INSTRUCTOR

Khurram Pirzada
Khurram is a Data Scientist and the Main Instructor for the Data Analytics and Visualization boot camp. He brings a wealth of experience and expertise to the classroom. With a background in computer science and a Ph.D. in the field, he is well-equipped to teach and guide students in data science and AI/ML.


REGISTRATION AND ENROLLMENT

This course is 100% online. Start anytime.
  
 
 

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