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Data Analytics

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Master Data Analytics in 24 Weeks

The Data Analytics Bootcamp is a 24-week immersive dive into data and data architectures (databases, data warehouses, and data lakes), SQL, Python, data science, machine learning, and data loading, cleansing, and transformation. Students completing the bootcamp will possess skills to load, analyze, and visualize data. They will be well versed in SQL, the primary language for database operations and they will be able to use Python (the most widely-used programming language) to load, manipulate, and visualize data. They can also perform common machine-learning algorithms (clustering, classification, and predictive analysis). The bootcamp also introduces learners to Tableau--the most widely-used data mining and analysis tool.

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Industry Trends and Rationale

Why Now?

Nowadays, data is everywhere and data analytics is becoming increasingly important for businesses and organizations. Data analytics is the process of collecting, analyzing and interpreting large amounts of data to identify patterns and trends. With data analytics, organizations can gain valuable insights into their customers, operations, and performance. Data analytics courses offer the necessary skills and knowledge to help organizations make informed decisions and gain a competitive edge. Data analytics courses can help you learn how to use data to drive strategic initiatives, improve customer experience, and increase efficiency. With the right skills and knowledge, you can become a valuable asset to an organization and help them make data-driven decisions.

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Competitive Advantage

Data analytics is becoming increasingly important in the business world as companies look to leverage data to gain a competitive advantage. The demand for data analytics skills is growing in virtually every industry, as companies are looking to capitalize on the insights available through data analysis. To help meet the need, many universities and colleges are now offering courses in data analytics, which teach students the principles and techniques of data mining, data manipulation, statistical analysis, and other related topics. 

Analyze and Interpret Data

Data analytics courses provide students with a deep understanding of how to analyze and interpret data, develop strategies to draw meaningful insights, and design systems to automate data analysis tasks. These skills are invaluable in the business world, where data-driven decision-making is becoming increasingly important. 

Technical Knowledge

Data analytics courses also provide students with the technical knowledge to be able to use data-oriented software such as R and Python, as well as software used for data visualization such as Tableau. Data analytics courses also provide students with an understanding of the ethical considerations of data analytics. As companies increasingly rely on data-driven decision-making, it is important to ensure that data is collected and used responsibly. Data analytics courses provide students with the knowledge and skills to ensure that data is used ethically and in compliance with applicable laws and regulations. 

Course Outcomes

Data analytics certifications provide students with a comprehensive understanding of data analytics principles and methods. With an in-depth knowledge of data analytics, students are able to understand and analyze data more effectively and efficiently. This knowledge can be used in the workplace to make better decisions, improve customer service, optimize processes, and develop new products and services. In addition, data analytics certifications provide students with the skills and knowledge needed to pursue advanced analytics and data science roles. Finally, the certification can open up the door to a variety of career opportunities, including data analyst, data scientist, and business intelligence analyst.

The Data Analytics course provides a comprehensive introduction to the field of data analytics, covering essential topics and skills that are necessary for success in the industry. The course is divided into nine modules, each of which focuses on a different aspect of data analytics, including databases, SQL, Python, data quality and cleansing, visualization, statistics, and machine learning.

Students will learn how to manage and store data effectively, perform data analysis and manipulation using SQL and Python, ensure data quality and consistency, and create compelling visualizations and dashboards using tools like Tableau. The course also covers cloud-based tools and technologies, as well as machine learning algorithms, which are becoming increasingly important in the field.

Overall, the Data Analytics course provides students with a strong foundation in the fundamental concepts and skills required for a successful career in data analytics.

Data analytics is a relatively new and rapidly growing field, so the career prospects are excellent. Data analysts are in high demand, especially in the tech industry, and the field is expected to continue to grow. Data analysts can find jobs in various industries such as healthcare, finance, retail, and more. Those who specialize in data analytics can also find roles in data science, machine learning, and artificial intelligence. Data analytics skills are becoming more and more valuable, so those who complete a data analytics course can expect to find good job opportunities in their field.

Data is one of the fastest growing information technology segments. There are a wide range of data-related jobs:

  • Database administrator (DBA)
  • Data engineer
  • Data analyst
  • Data visualizer
  • Data scientist
  • Data architect
  • Data programmer

Upon completion of this credential, you will be able to:

  • Create and manipulate databases using SQL
  • Create Python scripts to load, cleanse, manipulate, and visualize data
  • Perform key machine-learning algorithms like clustering, classification, and predictive analysis using Python
  • Visualize data using a variety of tools
  • Perform extract, transform, and load operations applying data cleansing and quality operations
  • Analyze data using Tableau
  • Leverage and present data on the cloud

The salary of a data analytics programmer will vary depending on the job role and company, but generally the salary range is between $60,000 and $120,000 per year. Additionally, many data analytics programmers may receive bonuses and other forms of compensation depending on their performance and the success of the projects they are working on.

Interested in Enrolling?

Take the first step towards advancing your knowledge and skills by enrolling in our bootcamp.

Enroll Now