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About Data Analytics

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Digital data is growing at a staggering rate and with this growth, comes more complexity that requires skilled professionals to harmonize and draw meaning from it. Data Analysts will continue to play a pivotal role in leveraging data for innovation and to achieve business objectives.

Our Data Analytics pathway will provide you with essential skills to extract insight from raw data and make informed decisions. You will cover topics such as statistical analysis, data visualization, machine learning, and database queries, through practical and project-based methods.

You'll learn to perform exploratory data analysis, create informative visualizations, and leverage machine learning models to uncover patterns. You will also gain proficiency in manipulating and analysing large datasets using industry-standard tools.

Register Today and Make Your Dream a Reality!

Program Length: 3 Months

Start Date: Q1 2025

Mode: Hybrid (In-Person and Online)

Scheme of work

  • Introduction to data analytics fundamentals, including data types, data collection, and data cleaning techniques.

  • Exploration of statistical analysis methods, including descriptive statistics, hypothesis testing, and regression analysis.

  • Understanding data visualization principles and tools for creating compelling visual representations of data.

  • Introduction to machine learning concepts, algorithms, and techniques for predictive modeling and pattern recognition.

  • Data mining techniques for discovering actionable insights from large datasets, including clustering and association analysis.

  • Database querying languages and techniques for extracting and manipulating data from relational databases.

Career Path in Data Analytics

Our Data Analytics pathway offers ambassadors exceptional career opportunities in various unique positions, that may include:

  • Data Analyst
  • Business Intelligence Analyst
  • Marketing Analyst
  • Quantitative Analyst
  • Market Research Analyst
  • Data Engineer
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Admission Requirements

Educational/Work Qualification:
  • No degree/certificate or work experience is required to apply
Language Proficiency:
  • This course is taught in English. Candidates must be proficient in the language to interact with the material and take part in discussions
Assessments:
  • Every applicant must complete the registration quiz and other technical assessments given
System Requirements:
  • Access to a computer (At least 8gb RAM, Core I5, 5th generation)
  • Stable internet connection for the duration of the program
Other Requirements:
  • Ensure your availability
  • Commitment
  • Demonstrate problem-solving and teamwork skills

Pricing

Learn with us at the most affordable cost available

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