Course Design By
Nasscom & Wipro
Updated 2021 content: Our course stays current with the latest technologies and tools in the market.
Practical hands-on learning: Focuses on step-by-step implementation rather than theory alone.
Guided support: Access Q/A sessions for guidance on any queries.
Basic understanding of Python programming.
Familiarity with Supervised Machine Learning concepts.
In-depth exploration of statistical methods for data analysis.
Utilization of tools like Python and R for effective data manipulation.
Understanding the foundations of machine learning algorithms.
Hands-on experience with implementing AI solutions in practical scenarios.
Exploration of big data frameworks such as Hadoop and Spark.
Hands-on projects to understand real-world applications of big data in data science.
Utilization of visualization tools like Tableau and Power BI.
Creating compelling visual narratives to communicate data insights effectively.
Delving into advanced statistical concepts for robust data analysis.
Application of statistical models for predictive analytics.
The course imparts a diverse skill set, making participants well-rounded data science professionals.
Equipped to handle various aspects of data science projects, ensuring versatility.
Aligned with industry needs, the course ensures that participants are prepared for real-world challenges.
Practical applications of data science techniques in relevant industry contexts.
Full Stack Data Scientists emerge as versatile professionals capable of navigating and contributing to different facets of data science projects.
Versatility increases employability and makes graduates valuable assets to employers.
Proficiently analyze large datasets to extract meaningful insights.
Interpretation of data trends and patterns for informed decision-making.
Development and implementation of machine learning models tailored to specific business needs.
Continuous refinement and optimization of machine learning algorithms.
Expertise in processing and analyzing vast datasets using big data technologies.
Ensuring scalability and efficiency in managing large volumes of data.
Creation of visually compelling representations of data insights.
Use of visualization tools to communicate complex data findings effectively.
Application of advanced statistical techniques for predictive analytics.
Incorporation of statistical models to enhance the accuracy of data-driven predictions.
Designing and implementing artificial intelligence solutions.
Integration of AI technologies to automate processes and enhance decision-making.
Demand for data science professionals in tech companies for innovative solutions.
Utilization of data science in healthcare for improved patient outcomes and operational efficiency.
Application of data science in financial institutions for risk management and fraud detection.
Leveraging data science to enhance customer experience and optimize business operations.
Implementation of data-driven processes in manufacturing for efficiency and quality improvement.
we train you to get hired.
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Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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20-Sep-2025*
22-Sep-2025*
24-Sep-2025*
20-Sep-2025*
22-Sep-2025*
24-Sep-2025*
You will get certificate after
completion of program
You will get certificate after
completion of program
You will get certificate after
completion of program
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we train you to get hired.
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The course duration may vary but typically spans a few months, depending on the curriculum.
No, the course is designed for learners at various proficiency levels, including beginners.
Career support may include resume assistance, interview preparation, and job placement guidance.
Yes, Croma Campus is the best choice to help you in becoming a successful Full Stack Data Scientist.
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