Data Science Trainee / Data Analyst Trainee
Description
Course Curriculum
- Python Programming: Learn programming fundamentals and Python libraries used in data analysis.
- SQL: Understand databases, queries and data retrieval.
- Statistics: Explore statistical concepts used to interpret datasets.
- Data Analytics: Learn data cleaning, exploratory analysis and visualization.
- Power BI and Tableau: Develop reports and dashboards to communicate insights.
- Machine Learning: Understand supervised learning, unsupervised learning and model evaluation.
- Artificial Intelligence and Generative AI: Explore AI concepts and practical applications.
- Hands-on Projects: Apply your learning to practical datasets and analytical problems.
Who Should Join This Course
- BE and BTech graduates
- BCA, MCA and BSc graduates
- BCom, BBA, BA and MBA graduates
- Freshers exploring technology careers
- Working professionals planning to upskill or transition into Data Analytics
Certification and Practical Learning
Online and Classroom Data Science Training
Career Preparation and Placement Assistance
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.