Data Analyst in AI Professional Program

What Will You Learn?

• Foundations of Data Analysis:
• Gain a solid understanding of fundamental concepts and principles in data analysis.
• Learn to extract, clean, and manipulate data using industry-standard tools and techniques.
• Statistical Analysis and Visualization:
• Explore statistical methods and visualization techniques for data exploration and interpretation.
• Learn to use tools like Python, R, or Tableau to create compelling visualizations and derive insights from data.
• Machine Learning Fundamentals:
• Dive into the principles and algorithms of machine learning, including supervised and unsupervised learning.
• Gain hands-on experience in building predictive models and evaluating model performance.
• Advanced AI Techniques:
• Explore advanced artificial intelligence techniques such as deep learning, natural language processing (NLP), and computer vision.
• Learn to implement AI algorithms using libraries like TensorFlow and PyTorch for tasks like image recognition, text analysis, and more.
• Big Data Analytics:
• Understand the challenges and opportunities of analyzing large-scale datasets (big data).
• Learn to use distributed computing frameworks like Apache Hadoop and Spark for processing and analyzing big data.
• Real-world Projects and Case Studies:
• Apply theoretical knowledge to real-world scenarios through hands-on projects and case studies.
• Work on industry-relevant projects to build a robust portfolio showcasing your skills and expertise.
• & Many More.