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INTRODUCTION • Data Analytics is the process of examining, cleaning, transforming, and modeling data to discover useful insights, support decision-making, and solve problems using statistical, analytical, and computational techniques.
WHY CHOOSE? • High Demand – Growing need for data professionals across industries. • Global Opportunities – In-demand skills worldwide. • Problem Solving – Develops analytical thinking and solution-based approaches. • Future-Oriented – Core skill in the era of AI and big data.
WHAT WILL YOU LEARN? • Excel for Analytics – Using Excel for data manipulation and basic analytics. • Programming (Python/R) – Using coding for deeper analysis and automation. • Critical Thinking – Developing an analytical mindset to solve complex problems. • Statistical Analysis – Applying statistical methods to interpret data.
BENEFITS OF DATA ANALYTICS Problem Solving Career Growth • Improve your ability to analyze and resolve issues. • Opportunities for advancement in tech and business roles. Versatility High Employbility • Applicable in finance, marketing, healthcare, retail, and more. • Strong demand across industries.
TOOLS OF DATA ANAYLTICS • Microsoft Excel – For basic data analysis, cleaning, and visualization. • Python – Widely used for data manipulation, analysis, and machine learning. • Google Sheets – Cloud-based spreadsheet tool for collaborative analysis. • Power BI – Microsoft’s business intelligence tool for reporting and dashboards.
CAREER OPPORTUNITY • Data Analyst – Interpret data and provide insights to support decision-making. • Data Engineer – Design and maintain data systems and pipelines. • Business Analyst – Bridge between data insights and business strategy. • Data Engineer – Design and maintain data systems and pipelines.
future scope Increased Data Generation – More data = more need for skilled analysts. Global Demand – Opportunities in both domestic and international markets. High-Paying Roles – Salaries continue to rise with demand and experience.
CONCLUSION • Data Analytics offers valuable skills to interpret data, drive smart decisions, and unlock career opportunities. It's a future-ready field with high demand across industries, making it essential in today's data-driven world.
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