About The Data anlytics Course

The Data Science & Analytics with Artificial Intelligence course at Interskill Solutions is an extensive program designed to provide you with a comprehensive skillset that covers the core aspects of data analytics, machine learning, and artificial intelligence. Over 400+ hours of training, you will gain in-depth knowledge and hands-on experience in industry-leading tools and techniques, preparing you to solve complex business challenges using data. Course Duration: 6 Months
Training Mode: Instructor-led, Hands-on, Real-Time Projects
Certification: ISO-Certified Global Certificate
Placement Assistance: Guaranteed Placement Support

In today’s data-driven world, the ability to extract meaningful insights from vast amounts of data is critical for any business. Through this course, you will be equipped with the skills to manage, analyze, and interpret data using a variety of tools and methods, all while gaining proficiency in Python, SQL, Tableau, Power BI, and R. You will also delve into Machine Learning and Artificial Intelligence to learn how to build predictive models and create intelligent systems that can enhance business operations.

Our curriculum is designed to provide a hands-on learning experience, where you will apply your knowledge on real-time datasets and work on 5 industry-specific projects. These projects are strategically designed to help you enhance your skills while building a robust portfolio that stands out to potential employers.

As part of the program, you will also have access to personalized mentorship, where expert trainers will guide you step-by-step through the learning process. Our small batch sizes ensure that you receive the attention you need to succeed.

In addition to technical expertise, the program also focuses on career support, including interview preparation, resume building, and soft skill development. We understand the importance of industry-ready professionals, and our placement drive guarantees 100% placement assistance upon completion of the course.

What Will You Learn?

• Data Analytics Fundamentals: Learn the key principles of data analytics, from data collection and cleaning to descriptive, diagnostic, predictive, and prescriptive analytics.
• Statistical Analysis: Master statistical techniques such as hypothesis testing, probability distributions, regression analysis, and ANOVA.
• Data Visualization: Gain expertise in creating visualizations using powerful tools like Tableau and Power BI.
• Machine Learning: Understand different machine learning techniques, including supervised and unsupervised learning, regression models, and decision trees.
• Artificial Intelligence: Learn how AI is transforming businesses by exploring areas like natural language processing (NLP), computer vision, robotics, and deep learning.
• Programming & Tools: Master Python, R, SQL, and other essential tools used in data analytics and AI for efficient data manipulation and analysis.