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The Data Analytics with Generative AI Course in Calicut at Techolas Technologies is designed to equip learners with the skills needed to analyze complex data, uncover valuable trends, and leverage the latest AI technologies to solve real-world business challenges. This advanced program combines the fundamentals of data analytics with the transformative capabilities of Generative AI, preparing students for the next generation of analytics careers.
100 Hours on-demand training
50 hours projects
2 projects (Industrial projects)
20 hours pre-placement program
Certificate of completion
After the completion of your course under our trainers, you will be provided with a total of three certifications which includes- NACTET which has affiliation over 100 and more countries, a certificate of completion and an internship certificate.
The course covers essential concepts such as data cleaning, data visualization, statistical analysis, SQL, Python programming, dashboard creation, and business intelligence reporting. In addition, learners gain hands-on experience with Generative AI tools that are revolutionizing how organizations process information, automate tasks, generate reports, and derive insights from large datasets. By integrating AI into analytics workflows, students learn how to work more efficiently and deliver greater value to business.
Unlike traditional analytics training, this program emphasizes practical implementation through industry-based projects, case studies, and real-time datasets. Students develop the ability to transform raw data into actionable business strategies while understanding how AI-powered solutions can enhance decision-making processes across industries such as healthcare, finance, retail, marketing, logistics, and technology.
Whether you are a student looking to start a career in analytics, a working professional seeking career advancement, or an entrepreneur aiming to make data-driven decisions, this course provides the knowledge and practical skills needed to thrive in a competitive job market. The curriculum is regularly updated to align with current industry requirements, ensuring learners stay ahead of emerging trends in both analytics and artificial intelligence.
The Data Analytics with Generative AI Course at Techolas Technologies helps learners develop a comprehensive skill set in data analysis, SQL, Python programming, statistical analysis, data cleaning, business intelligence, and data visualization using tools such as Power BI and Tableau. Students gain hands-on experience in transforming raw data into meaningful insights, creating interactive dashboards, and solving real-world business problems through data-driven decision-making. The curriculum also introduces Generative AI applications and AI-powered analytics, enabling learners to automate workflows, generate reports, enhance productivity, and uncover deeper insights from data. With practical projects, industry case studies, and machine learning fundamentals, participants build strong analytical, problem-solving, and data storytelling skills that prepare them for successful careers in Data Analytics, Business Intelligence, and AI-driven business environments.
Upon successful completion of the Data Analytics with Generative AI Course, you can pursue exciting career opportunities in the rapidly growing fields of data, business intelligence, and artificial intelligence. Depending on your interests and career goals, you may choose roles such as Data Analyst, Business Analyst, Business Intelligence (BI) Analyst, Reporting Analyst, MIS Executive, Data Visualization Specialist, Analytics Consultant, AI Data Specialist, Junior Data Scientist, Market Research Analyst, Operations Analyst, and Generative AI Analyst. As businesses across industries increasingly adopt data-driven decision-making and AI-powered technologies, professionals with expertise in analytics and Generative AI are becoming highly sought after, opening doors to rewarding career opportunities both in India and globally.
The Data Analytics with Generative AI Course is ideal for graduates, students, working professionals, career changers, entrepreneurs, and business owners who want to build expertise in data analytics and AI-driven technologies. Whether you are a fresher looking to start a career in the data industry, an IT professional seeking to upskill, a business professional aiming to make data-driven decisions, or someone interested in exploring the growing field of artificial intelligence, this course provides the knowledge and practical skills needed to succeed. No prior experience in analytics or programming is required, making it suitable for anyone who wants to leverage data and Generative AI to advance their career and stay competitive in today's digital economy.
The salary you can earn after completing the Data Analytics with Generative AI Course depends on factors such as your skills, experience, location, industry, and the role you secure. Freshers entering the field as Data Analysts, Business Analysts, or BI Analysts can typically expect salaries ranging from ₹3.5 LPA to ₹7 LPA. With practical project experience, strong technical skills, and industry certifications, professionals can progress to roles offering ₹8 LPA to ₹15 LPA within a few years. Experienced analytics and AI professionals working in specialized domains such as data science, business intelligence, or AI-driven analytics can earn ₹15 LPA and above, especially in leading technology companies and multinational organizations. As the demand for data analytics and Generative AI expertise continues to grow, career opportunities and earning potential in this field are expected to increase significantly in the coming years.
At Techolas Technologies, learning goes beyond theory. Expert trainers, personalized mentoring, hands-on projects, interview preparation sessions, and placement support help students build confidence and industry readiness. Upon completion, learners will be prepared for opportunities such as Data Analyst, Business Analyst, Business Intelligence Analyst, Reporting Analyst, AI Analytics Specialist, and other high-demand roles in the rapidly growing data ecosystem.
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