What is the Data Analytics and Generative AI program?

The Data Analytics program offered by Simplilearn in collaboration with E&ICT Academy, IIT Guwahati is a cutting-edge data analytics course designed to empower professionals with in-demand skills in AI-driven analytics. This program combines the fundamentals of data analytics with advanced techniques in Generative AI, enabling learners to extract actionable insights and drive innovation across industries. 

With hands-on projects, expert-led sessions, and real-world applications, learners gain proficiency in leveraging AI to analyze and interpret complex datasets. Perfect for those looking to advance their careers, this course bridges the gap between traditional data analysis and the transformative power of Generative AI.

Skills gained after this course

Data Analytics Foundations

• Understanding data types, data structures, and statistical methods.

• Proficiency in exploratory data analysis (EDA) using tools like Python and R

• Data visualization and storytelling with tools like Tableau and Power BI.

Generative AI Techniques

• Understanding the principles of Generative AI and its applications.

• Applying Generative AI to automate data processing and generate synthetic datasets.
  Participants of the artificial intelligence course will explore how these technologies contribute to business innovation.

Programming and Data Manipulation

• Advanced Python programming for data manipulation and analysis.

• Working with libraries like NumPy, Pandas, and Scikit-learn for data wrangling.

• SQL for querying, managing, and analyzing relational databases.

Big Data and Cloud Computing

• Working with big data technologies like Hadoop, Spark, and Apache Kafka.

• Leveraging cloud platforms such as AWS and Azure for scalable data solutions.

Natural Language Processing (NLP)

• Techniques for text analysis, sentiment analysis, and language modeling.

• Applications of NLP in business intelligence and decision-making.

Soft skills and Business Acumen

• Data-driven decision-making and problem-solving skills.

• Presentation and communication of data insights to stakeholders.

• Understanding business contexts for applying AI data analytics.

Through this machine learning course, students will explore AI concepts and learn how to apply them effectively. 

Tools covered in this course

• Python

• TensorFlow and Keras

• PyTorch

• Scikit-learn

• Hugging face

• OpenAI API

• Numpy and Pandas

• Matplotlib and Seaborn

• Excel

• SQL

• Tableau and Power BI

Why to pursue this data analytics course?

Currently, businesses heavily rely on Generative AI for data analytics to extract data, thus increasing the demand for professionals who are qualified to extract valuable insights from huge datasets. Thus, pursuing an AI and Data Analytics course is essential. 

This Data Analytics and Generative AI offered by E&ICT Academy, IIT Guwahati and Simplilearn course teaches the skills to analyze vast datasets, identify trends, and leverage AI technologies like machine learning and generative models to solve complex problems. 

Mastering tools like Python, SQL, Tableau, and AI frameworks helps learners gain the ability to automate processes, create predictive models, and generate actionable insights. As organizations increasingly seek professionals adept at combining AI with analytics, this AI data analytic course positions you at the forefront of technological innovation and career opportunities.

Who should enroll in this program?

• Aspiring Data Analysts and Scientists: Those looking to build a career in data analysis or data science.

• AI Enthusiasts: Individuals keen on exploring AI technologies, including machine learning and generative AI.

• Business Leaders and Managers: Executives seeking to leverage data and AI for strategic decision-making.

• Software Developers: Programmers who want to transition into AI and analytics roles.

• Fresh Graduates: Recent graduates seeking specialized skills to enter the job market.

• Entrepreneurs: Start-up founders aiming to use data and AI to innovate and optimize their business.

• Marketing and Sales Professionals: Those wanting to understand customer data, predict trends, and personalize strategies using AI.

• IT and Cloud Professionals: Engineers and administrators eager to integrate AI-driven analytics into cloud systems.

• Researchers and Academics: Individuals interested in advancing their knowledge of AI and analytics for research and teaching purposes.

How does a data analytics course help to grow professionally?

1. Learn in-demand skillset: The course equips you with highly sought-after skills in data analysis, machine learning, and AI, making you more competitive in the job market.

2. Enhanced problem-solving abilities: You’ll learn how to analyze complex datasets, generate insights, and build predictive models, enabling you to solve business problems more effectively.

3. Career advancement: Mastering data-driven decision-making and AI technologies positions you for roles like Data Scientist, AI Specialist, or Business Analyst, opening up new career opportunities.

4. Better decision-making: You’ll gain the ability to leverage data and AI to drive smarter, more informed business decisions, making you an asset to any organization.

5. Increased earning potential: As companies increasingly turn to data and AI, professionals with these skills are in high demand, often commanding higher salaries and better job benefits.

6. Versatility across industries: Whether in healthcare, finance, e-commerce, or marketing, the skills learned in this course are applicable across various sectors, allowing you to explore multiple career paths.

7. Networking opportunities: Through the course, you'll connect with like-minded professionals, mentors, and industry experts, expanding your professional network and growth prospects.

Job roles to pursue after data analytics course

• Data Scientist: Analyze large datasets, build models, and create predictive analytics solutions for business decisions.

• Machine Learning Engineer: Design and implement machine learning algorithms and AI models for automation and optimization.

• AI Specialist: Focus on developing and deploying AI-driven applications, including generative models and natural language processing systems.

• Business Intelligence Analyst: Use data analysis tools to generate insights and support business decision-making.

• Data Analyst: Process and analyze data to identify trends, patterns, and actionable insights for businesses.

• Data Engineer: Build and maintain data pipelines, ensuring data is accessible and usable for analysis and AI applications.

• Quantitative Analyst: Apply statistical models and data analysis to solve problems in sectors like finance and economics.

• AI Product Manager: Manage the development and implementation of AI-based products, aligning them with business goals.

• Marketing Analyst: Use data analytics and AI tools to optimize marketing strategies, customer segmentation, and targeted campaigns.

• Cloud Data Specialist: Leverage cloud platforms to implement and manage AI and data analytics solutions at scale.

Know more about E&ICT Academy, IIT Guwahati

Established in 1994, E&ICT Academy, IIT Guwahati is one of India's premier institutes for higher education and research in engineering, technology, and sciences. Located in Guwahati, Assam, it is known for its world-class infrastructure, state-of-the-art laboratories, and diverse academic programs. 

Offering undergraduate, postgraduate, and doctoral courses, E&ICT Academy, IIT Guwahati is recognized for its strong emphasis on research and innovation. The institute has garnered global recognition for its contributions to cutting-edge fields such as artificial intelligence, machine learning, robotics, and biotechnology. With a vibrant campus culture, E&ICT Academy, IIT Guwahati nurtures a strong spirit of entrepreneurship, creativity, and academic excellence among its students, making it a preferred destination for aspiring engineers and researchers.