<aside> 📌 This page is designed for Celerates Acceleration Mastery Program (CAMP) Batch 2 - Data Science and Generative AI students to find out more about this training

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Data Science and Generative AI, Trainer & Mentor

Trainer:

Mitra : Celerates (PT Mitra Talenta Grup)

Office hours : 08:00-17:00

Mentor:

📜 Data Science and Generative AI Course

This training targeted towards anyone who works with data.

Data Science and Generative AI is like being the architect of intelligent systems! Imagine you’re designing a blueprint for how businesses can leverage data and AI—predicting trends, automating tasks, and generating insights. As a Data Science & Generative AI professional, you collect, clean, and analyze data, then build models that drive innovation and efficiency.

Using tools like Python, TensorFlow, and LangChain, you transform raw data into powerful algorithms—whether for forecasting sales, personalizing user experiences, or creating AI-generated content. Your work helps businesses optimize processes, enhance decision-making, and unlock new possibilities with AI-driven solutions.

In this field, you’re the expert who turns data into intelligence, ensuring that organizations stay ahead by harnessing the power of AI and data science for smarter, more automated decisions.

Data Science and Generative AI Statistics

Here are some key statistics that demonstrate the growing importance of Data Science and Generative AI in today's world:

• Market Growth: The global AI market size is projected to grow from $150.2 billion in 2023 to $1,345.2 billion by 2030, at a CAGR of 36.8% (Grand View Research).
• Job Demand: Data Scientist roles have seen a 650% growth since 2012, with median salaries 31% higher than typical IT positions (LinkedIn).
• Business Adoption: 91.5% of leading businesses report ongoing investments in AI, with 35% accelerating their AI implementation timeline (NewVantage Partners).
• Productivity Impact: Organizations using generative AI report a 40% increase in employee productivity for specific tasks (McKinsey).
• Economic Impact: Generative AI could add $2.6 trillion to $4.4 trillion annually to the global economy (McKinsey Global Institute).
• Skill Gap: 56% of organizations report difficulty finding qualified data science professionals, creating premium opportunities for trained specialists (Deloitte).
• Data Generation: By 2025, it's estimated that 463 exabytes of data will be created globally each day, requiring advanced analysis techniques (World Economic Forum).

These statistics highlight why data science and generative AI skills are increasingly crucial across industries, creating significant opportunities for professionals with relevant expertise.