Advanced Data Analysis With Generative AI training
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About Our Advanced Data Analysis with Generative AI Training in the USA

Our Advanced Data Analysis with Generative AI training in the USA is designed to equip professionals with cutting-edge skills in analyzing data effectively using advanced generative AI technologies like OpenAI's GPT and Google's Bard. The course provides hands-on training in predictive analysis using tools such as TensorFlow and PyTorch, enabling participants to detect anomalies and uncover meaningful insights. Learners will gain a deep understanding of data analysis fundamentals with GenAI, including techniques for automated report generation and handling complex text data analysis. This training bridges the gap between theoretical knowledge and practical application in advanced statistical and generative AI methodologies.

Who can join this course

A comprehensive course designed to equip professionals and enthusiasts with advanced skills in data analysis using cutting-edge generative AI tools and techniques.

Prerequisites:

No prior experience with generative AI is required

Course duration:

3 weeks based on the mode of learning
Level- Intermediate

Mode of training- Flexible

Online students- flexibility of self-paced learning, video content, and text content
Offline students- Instructor-led training, video-based content, and text-based content
Weekdays, Weekends, and Customized Days as per the request

Career opportunity

1. AI Data Analyst

2. Business Intelligence Specialist

3. Machine Learning Engineer

4. Data Scientist

5. AI Product Manager and many

Demand for Generative AI Career in 2024

According to Statista

· The market size in the Generative AI market is projected to reach US$11.66bn in 2024.

· The market size is expected to show an annual growth rate (CAGR 2024-2030) of 46.48%, resulting in a market volume of US$115.20bn by 2030.

· In global comparison, the largest market size will be in the United States (US$11.66bn in 2024).

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Key Highlights

Live or virtual instructor-led classes
Browse course details, syllabus and demo videos
Quality course material provided
Become a certified expert on the subject
Instant access to reference material
Get high-pay jobs offers post-training

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About Advanced Data Analysis With Generative AI training

Overview of Our Advanced Data Analysis with Generative AI Course USA
The course offers a comprehensive curriculum on statistical analysis, predictive modeling, and anomaly detection through innovative generative AI technologies. Participants will delve into time-series analysis and explore methods for detecting anomalies and outliers in large datasets. With a focus on practical applications, the course covers text data analysis and equips learners with tools for predictive analysis using leading generative AI platforms. By the end of the course, participants will confidently apply automated reporting and AI-driven insights to real-world business problems.
The objective of Our Advanced Data Analysis with Generative AI Training and Course
Advanced Data Analysis with Generative AI training aims to empower professionals to excel in advanced data analysis using generative AI. Participants will master the art of time-series analysis, predictive modeling, and anomaly detection with a hands-on approach. Our Advanced Data Analysis with Generative AI course is structured to provide a strong foundation in data analysis fundamentals with GenAI and facilitate the application of generative AI technologies in real-world scenarios. By integrating statistical analysis and automated report generation, learners will be prepared to address complex analytical challenges efficiently.
What You Will Learn in Advanced Data Analysis with Generative AI Course
1.Master time-series analysis for effective forecasting and trend identification.
2.Implement anomaly detection to uncover anomalies and outliers in datasets.
3.Perform predictive analysis using generative AI tools like TensorFlow and PyTorch.
4.Leverage text data analysis for Natural Language Processing (NLP) tasks.
5.Apply data analysis fundamentals with GenAI for practical business solutions.
6.Automate report generation to streamline decision-making processes.

Advanced Data Analysis With Generative AI syllabus

Module 1: Introduction to Data Analysis with Generative AI
Overview of data analysis fundamentals with GenAI
Understanding generative AI technologies (e.g., OpenAI GPT, TensorFlow, PyTorch)
Applications of generative AI in data analysis
Setting up the environment: tools and platforms
Module 2: Statistical and Exploratory Data Analysis
Basics of statistical analysis for data interpretation
Exploratory Data Analysis (EDA) concepts and techniques
Generative AI in EDA: automating descriptive and diagnostic analysis
Tools for statistical and EDA tasks
Module 3: Time-Series Analysis and Forecasting
Introduction to time-series analysis
Generative AI for trend prediction and anomaly detection
Handling time-series data with AI tools
Case studies on time-series forecasting
Module 4: Anomaly and Outlier Detection
Understanding anomalies and outliers
Techniques for anomaly detection using generative AI
Implementing AI models for real-time anomaly detection
Practical applications and industry use cases
Module 5: Predictive Analysis with Generative AI
Introduction to predictive modeling
Building AI-driven predictive analysis models
Tools for predictive analysis (TensorFlow, PyTorch)
Case studies on business and operational predictions
Module 6: Natural Language Processing (NLP) and Text Data Analysis
Fundamentals of NLP in data analysis
Text data analysis using generative AI
Automating text summarization and sentiment analysis
Practical applications of NLP in business scenarios
Module 7: Automated Reporting and Visualization
Generating automated reports with generative AI
Data visualization tools and techniques
Customizing AI-generated reports for different stakeholders
Hands-on project: Automating insights and reporting
Module 8: Real-World Projects and Applications
Capstone project
Best practices for deploying AI-driven data solutions

FAQ's on Advanced Data Analysis With Generative AI training & certification

Can generative AI be used in data analysis?
Yes, generative AI can be highly effective in data analysis. It enables advanced techniques like predictive modeling, anomaly detection, and text data analysis. Using generative AI models like GPT, data analysts can automate tasks like data cleaning, trend forecasting, and report generation, improving accuracy and efficiency.
How do I start an AI career with no experience?
Starting an AI career with no experience involves learning foundational skills in programming (Python is a great choice), mathematics, and machine learning concepts. Enrolling in specialized courses like Advanced Data Analysis with Generative AI can provide hands-on experience, practical knowledge, and exposure to industry-relevant tools, setting you on the right path.
How can AI be used for data analysis?
AI transforms data analysis by automating repetitive tasks, detecting patterns, and delivering predictive insights. Techniques like anomaly detection, time-series analysis, and NLP are made efficient through AI. Generative AI adds value by enhancing exploratory data analysis and producing actionable insights quickly and accurately.
What is exploratory data analysis using generative AI?
Exploratory Data Analysis (EDA) using generative AI involves leveraging advanced AI models to summarize datasets, identify patterns, and visualize trends. Generative AI enhances EDA by automating statistical summaries, outlier detection, and feature extraction, making analysis faster and more intuitive.
What are the 4 types of exploratory data analysis?
The four types of exploratory data analysis are:
1.Descriptive Analysis – Summarizing and understanding data distributions.
2.Diagnostic Analysis – Identifying the causes of trends or anomalies.
3.Predictive Analysis – Forecasting future trends based on historical data.
4.Prescriptive Analysis – Recommending actions based on predictive insights.
Can I generate code using generative AI models?
Yes, generative AI models can generate code. They assist in automating repetitive programming tasks, writing scripts for data analysis, or even developing complex machine-learning algorithms. Tools like OpenAI's Codex and GitHub Copilot are examples of generative AI applied to coding.
What tools will I learn through this course?
This course will introduce tools like TensorFlow, PyTorch, and OpenAI's GPT for predictive analysis. It also includes training in statistical analysis software, time-series analysis platforms, and report automation tools to enhance data analysis capabilities.
How much does this course help me implement in my roles after completing Advanced Data Analysis with Generative AI?
After completing this course, you'll have practical skills to implement advanced analytics in your role. From automating report generation to performing predictive modeling and anomaly detection, you'll be able to streamline workflows and deliver data-driven insights with greater efficiency

Advanced Data Analysis With Generative AI certification

After completing Data Analysis With Generative AI training with certification with Sulekha's partnered course providers, you'll be ready to explore job opportunities with top IT companies in the USA or your local area. We focus on equipping you with the skills needed by leading organizations and helping you connect with career opportunities in industry giants like OpenAI, Anthropic, and Cohere, and more.

Courses related to GenAI and AI we offer

1. Generative AI for DevOps Engineers

2. Generative AI for Java Developers with Azure OpenAI ChatGPT

3. Generative AI for Java Developers with Google AI

4. Generative AI for Business Intelligence (BI and AI)

5. Generative AI for Business Analysis

Advanced Data Analysis With Generative AI training and placement

Sulekha partnered with many recognized course providers. Our Advanced Data Analysis With Generative AI training and placement providers offer online and offline classes and train them to get placed in reputed and top companies. We offer a blended and balanced learning experience, which helps participants gain knowledge and skills.

Advanced Data Analysis With Generative AI training offline

Face-to-face interactions can significantly enhance your education and career. That's why we offer instructor-led training sessions, providing opportunities for personal connections that can make a real difference in your learning experience.

Advanced Data Analysis With Generative AI training online

Our online students benefit from the flexibility of self-paced learning. At the end of most lessons, you'll find an online discussion with instructors and peers to accelerate your learning experience.

Notice how our courses include both text and video content? This approach is designed to keep your brain engaged and active, regardless of whether you’re an online or offline learner. While online students benefit from the flexibility of self-paced learning, offline students enjoy the added advantage of instructor-led training. However, both formats provide a rich mix of text and video content to ensure an effective learning experience.

About our Advanced Data Analysis With Generative AI course

Our Advanced Data Analysis With Generative AI course is designed to provide an in-depth understanding of data analysis and artificial intelligence. This course is perfect for anyone looking to enhance their skills and knowledge in this rapidly growing field.

Overview of our Advanced Data Analysis With Generative AI Training

Our course provides comprehensive training on the latest techniques and tools used in data analysis and AI. Through hands-on projects and case studies, students will learn how to apply these techniques to real-world scenarios.

Objectives of our Advanced Data Analysis With Generative AI training course

The primary objectives of our course are to develop a strong understanding of data analysis principles, learn how to use generative AI in data analysis, and gain practical experience through project work.

What you will learn in our Advanced Data Analysis With Generative AI classes

Understanding of data analysis principles and techniques
Knowledge on generative AI and its application in data analysis
Practical skills through hands-on projects
Application of data analysis and AI in real-world scenarios
Preparation for industry-recognized certification exams
Networking opportunities with industry professionals

Course Details

Our course is beginner-friendly and lasts for 12 weeks. It requires no prior knowledge, making it perfect for anyone interested in data analysis and AI. After course completion, students will receive a certification.