DATA ANALYST
Unlock the power of data with our Data Analyst Course at Dark Space Security. Learn how to collect, clean, analyze, and visualize data using Excel, SQL, Python, Power BI, and Tableau. Gain hands-on experience in turning raw data into actionable insights for real-world decision-making.
What You’ll Learn
- Foundations of Data Analytics and Data Interpretation
- Data Cleaning and Preprocessing
- Exploratory Data Analysis (EDA)
- Statistical Analysis and Hypothesis Testing
- Data Visualization and Reporting
- Analytics Tools and Frameworks (Excel, SQL, Python, Tableau, Power BI)
- Building Real-World Data Projects
This course combines theory with hands-on practice, empowering you to analyze datasets and extract actionable insights. Whether you are a beginner or aspiring to become a data professional, you will learn techniques to transform raw data into meaningful business decisions.
💡 Why Choose This Course?
Data Analytics is crucial for business decision-making across industries. Our course provides practical exposure with real-world projects and expert guidance, equipping you with the skills needed to drive data-driven strategies.
🧭 Course Structure
The course follows a project-based approach, teaching data collection, cleaning, analysis, visualization, and reporting through practical exercises and case studies.
👩💻 Who Can Join?
Anyone interested in data-driven decision-making — students, working professionals, or beginners. Basic knowledge of mathematics or Excel is helpful but not mandatory.
🎓 Prerequisites
Basic understanding of computers and logic. Knowledge of Excel or Python is a plus, but the course starts from fundamentals.
💼 Career Opportunities
- Data Analyst
- Business Analyst
- Data Scientist (Entry Level)
- Data Visualization Specialist
- Reporting Analyst
- Market Analyst
Our Learning Roadmap
Learn the basics of data analytics, types of data, and its role in decision-making across industries.
Techniques to clean, handle missing values, and preprocess datasets for analysis.
Analyze datasets using statistical summaries, visualizations, and correlations to extract insights.
Apply statistical methods to validate assumptions and support data-driven decisions.
Create impactful dashboards and reports using Excel, Tableau, or Power BI.
Work on practical projects involving data collection, analysis, visualization, and actionable insights.
Analytics Tools & Frameworks
Python
SQL
Tableau
Power BI
Pandas
NumPy