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Data Analysis

Master the essential skills to collect, process, analyze, and interpret complex datasets. Transform raw numbers into actionable insights and drive informed decision-making in any organization.

Duration:8 weeks
Skill Level:Beginner
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Course

Data Analysis

data analysis

Data Analysis

Master the essential skills to collect, process, analyze, and interpret complex datasets. Transform raw numbers into actionable insights and drive informed decision-making in any organization.

8 weeks
Beginner

About the Program

The Data Analysis program at Tritek Academy is designed to equip you with the essential skills to collect, process, analyze, and interpret complex datasets, enabling you to drive informed decision-making in any organization. In a world increasingly reliant on data, this course will empower you to transform raw numbers into actionable insights, compelling stories, and strategic advantages.

You'll gain hands-on experience with industry-standard tools and techniques, working on real-world projects to build a robust portfolio. Our curriculum is crafted by industry experts to ensure you learn the most relevant and in-demand skills, preparing you for a successful career in the rapidly growing field of data analysis.

Learning Outcomes:

Upon successful completion of this program, you will be able to:

  • Confidently collect, clean, and prepare data for analysis.
  • Perform exploratory data analysis to uncover initial insights and patterns.
  • Utilize tools like Excel, Python, and SQL for data manipulation and analysis.
  • Create meaningful data visualizations to communicate findings effectively.
  • Apply fundamental statistical methods to analyze data.
  • Develop and present data-driven reports and recommendations.
  • Build a portfolio of projects demonstrating your data analysis capabilities.

Admission Requirements

To be eligible for the Data Analysis program, applicants should meet the following criteria:

  • Educational Background: While no specific degree is mandatory, a background in a quantitative field (e.g., maths, statistics, economics, computer science) or relevant work experience can be beneficial.
  • Logical & Analytical Skills: A strong aptitude for problem-solving and analytical thinking.
  • Basic Computer Literacy: Familiarity with common computer operations and software.
  • English Language Proficiency: The course is conducted in English.
  • Commitment to Learning: A dedication to actively participate in the course and complete assignments.

Course Outline & Learning Outcomes: This program provides a comprehensive journey through the world of data analysis.

Module 1: Introduction to Data Analysis

  • Understanding the data analysis lifecycle
  • Types of data and data sources
  • The role of a Data Analyst

Module 2: Data Collection & Cleaning

  • Techniques for data gathering (APIs, web scraping basics, surveys)
  • Data wrangling and preprocessing: handling missing values, outliers, and inconsistencies
  • Data formatting and transformation

Module 3: Exploratory Data Analysis (EDA)

  • Descriptive statistics: mean, median, mode, variance, standard deviation
  • Data profiling and quality assessment
  • Understanding data distributions

Module 4: Data Analysis with Excel

  • Advanced Excel functions for data analysis
  • Pivot tables and charts
  • Data validation and scenario analysis

Module 5: Data Analysis with Python

  • Introduction to Python for data science (Pandas, NumPy)
  • Data manipulation and analysis with Python libraries
  • Importing and exporting data

Module 6: Data Visualization

  • Principles of effective data visualization
  • Creating charts and dashboards (e.g., using Matplotlib, Seaborn, Tableau/Power BI basics)
  • Communicating insights visually

Module 7: Statistical Analysis & Hypothesis Testing

  • Foundations of probability and statistics
  • Hypothesis testing, A/B testing concepts
  • Correlation and regression analysis

Module 8: Introduction to Databases & SQL

  • Relational database concepts
  • Querying data with SQL: SELECT, FROM, WHERE, JOIN, GROUP BY
  • Extracting data from databases

Module 9: Communicating Data Insights

  • Storytelling with data
  • Creating effective reports and presentations
  • Understanding stakeholder needs

Module 10: Capstone Project & Portfolio Building

  • Real-world data analysis project from start to finish
  • Building a professional data analysis portfolio

Career Outcomes

A Professional Diploma in Data Analysis from Tritek Academy opens doors to a variety of roles across numerous industries. You'll be equipped to:

  • Data Analyst
  • Junior Data Scientist
  • Business Intelligence Analyst
  • Market Research Analyst
  • Reporting Analyst
  • Data Coordinator

Build a compelling portfolio of data projects to showcase your skills to potential employers, earn a Professional Diploma that validates your expertise in data analysis, and qualify for in-demand job roles that require data interpretation and strategic insight.

Why Choose Tritek Academy for Data Analysis?

  • Industry-Relevant Curriculum: Learn the skills employers are actively seeking.
  • Hands-On Learning: Gain practical experience through real-world projects and case studies.
  • Expert Instructors: Be guided by experienced data professionals.
  • Career Support: Benefit from portfolio reviews and career advice to help you land your dream job.
  • Flexible Online Learning: Study at your own pace, from anywhere in the world.

Costs & Payment

  • Full Course Fee: £429
  • Application Fee: None
  • Payment Methods: Secure payments can be made via Stripe, Flutterwave, or Paystack
  • What's Included: Course materials, access to Tritek Digital Library (TDL), tutor support, and certification

Ready to Unlock the Power of Data?

Begin your journey to becoming a skilled Data Analyst. Apply to Tritek Academy today!

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