Diploma in
Data Analytics


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Diploma in Data Analytics

DURATION: 1 YEAR

Data Analytics at BlueCrest Most businesses collect a lot of data all the time, but this data is meaningless in its raw form. This is where data analytics enters the picture. Data analytics is the process of analyzing raw data to derive meaningful, actionable insights that can then be used to inform and drive smart business decisions. Data Analysts enable businesses to maximize the value of their data assets by using Python and Machine learning.

The certificate in Data Analytics teaches students to develop new analytical methods and tools by integrating the computational, statistical, and engineering techniques that form the heart of big data analytics. Students will learn the fundamental skills required to work in today's data-driven world. Students will gain the knowledge needed to complete a capstone project or an internship in the field of Data Analytics by using statistical, data, and visualization tools

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Course Learning Outcomes

  • Create compelling visualizations to communicate data insights
  • Apply statistical techniques to draw meaningful conclusions
  • Implement machine learning algorithms for predictive analysis
  • Proficiently handle databases for data storage and retrieval
  • Develop actionable recommendations based on data findings
  • Manage data analytics projects from inception to delivery
  • Create data visualizations to communicate the results of statistical analysis
  • Using data analysis techniques, analyze real-world problems
  • Utilize data analysis tools for the analysis of data sets
  • Create computer programs with Python for accessing and manipulating data sets
  • Demonstrate your ability to manage a project from design to completion

Career Opportunities

Upon successful completion of our Data Analytics program, you'll be well-prepared for diverse roles, including:

📊

Data Analysts

Professionals who manage data for decision-making

💼

Business Intelligence Analyst

Transform data into actionable business insights

🔍

Market Researcher

Analyze market trends and consumer behavior

🔬

Data Scientists

Extract insights using advanced analytics and ML

📈

Business Analyst

Bridge technology and business strategy

Objectives


  • To familiarize students with the knowledge and skills required to become a competent and employable Data Analytics professional.

  • To cover key topics in Data Analytics, including data analysis, data visualization, regression techniques, and supervised learning.

  • To provide hands-on experience with industry projects to help students apply their knowledge in real-world scenarios.

  • To deepen students' understanding of Data Analytics and its applications for better decision-making in a data-driven world.

  • To cater to working professionals, with no prior programming knowledge required.

  • To offer instructor-led offline sessions to enhance the learning experience.

  • To equip students with the skills to analyze and work on raw data for human consumption and informed decision-making.

  • To help students understand how Data Analytics can be implemented across industry sectors to solve problems, aid decision-making, and serve customers better.

  • To prepare students for a career in the competitive Data Analytics market place.

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