Data Science Job Vacancies in Thiruvananthapuram

Job descriptionWe are looking for an experienced Data Scientist Trainer to conduct training sessions for aspiring data science professionals. The ideal candidate should have expertise in Python, Machine Learning, Deep Learning, SQL, Power BI, and Statistical Analysis and a passion for teaching. You will be responsible for designing course content, delivering hands-on training, and mentoring students to help them build strong careers in Data Science.Key Responsibilities:Deliver comprehensive training in Python, Machine Learning, Deep Learning, Data Visualization, and SQL.Develop and maintain course materials, assignments, and real-world projects.Provide hands-on training in data analysis, predictive modeling, and data-driven decision-making.Guide students in working with datasets, feature engineering, and model evaluation techniques.Teach Power BI/Tableau for data visualization and storytelling.Conduct doubt-clearing sessions and mentor students on capstone projects.Stay updated with the latest advancements in AI, ML, and Big Data technologies and integrate them into the training.Help students prepare for interviews, certifications, and job placements.Assist in webinars, workshops, and corporate training programs as required.

We are looking for 23 Data Analyst / Data Science / IT Industry is Hiring Fresher Posts in Nashik, Maharashtra,Madurai, Tamil Nadu,Thiruvananthapuram, Kerala,Bhopal, Madhya Pradesh,Jodhpur, Rajasthan,Jamshedpur, Jharkhand,Rajkot, Gujarat,Bhubaneswar, Odisha,Udaipur, Rajasthan,Ludhiana, Punjab,Data Analyst,Data Specialist,Python Developer,Microsoft Excel, with deep knowledge in Data Analyst,Data Specialist,Python Developer,Microsoft Excel and Required Educational Qualification is : Higher Secondary, Secondary School, Diploma, Professional Degree, Other Bachelor Degree, B.A, B.C.A, B.Com Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary...