Become a successful Full Stack Data Scientist by mastering the four key areas of Data Science.

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Course Duration

40 Hrs.

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Data Science & AI


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  • Gain essential skills as a Data Scientist with our Full Stack Data Science Course at Croma Campus. Covering the entire project lifecycle, from data collection and cleaning to deploying models using Flask, this course equips you with practical, up-to-date knowledge. Perfect for beginners to experts looking to upskill in full-stack data science.
  • Why Take This Course:
    • 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.

  • Who Should Take This Course:
  • Ideal for beginners, intermediate learners, or experienced developers seeking to upskill as full-stack data scientists.
  • Requirements:
    • Basic understanding of Python programming.

      Familiarity with Supervised Machine Learning concepts.

Full Stack Data Science Course


  • Mastering Data Analysis Techniques:
    • In-depth exploration of statistical methods for data analysis.

      Utilization of tools like Python and R for effective data manipulation.

  • Gaining Proficiency in Machine Learning and AI:
    • Understanding the foundations of machine learning algorithms.

      Hands-on experience with implementing AI solutions in practical scenarios.

  • Developing Skills in Big Data Technologies:
    • Exploration of big data frameworks such as Hadoop and Spark.

      Hands-on projects to understand real-world applications of big data in data science.

  • Learning Data Visualization Tools:
    • Utilization of visualization tools like Tableau and Power BI.

      Creating compelling visual narratives to communicate data insights effectively.

  • Acquiring Knowledge in Advanced Statistics:
    • Delving into advanced statistical concepts for robust data analysis.

      Application of statistical models for predictive analytics.

  • Upon successful completion of the Full Stack Data Science Course, participants can anticipate competitive salaries. The earning potential is expected to increase with accumulated experience and expertise. Factors influencing salary include geographical location, industry, and the individual's proficiency in applying data science skills to real-world challenges.

  • The course opens doors to various career paths within the expansive field of data science. Graduates can pursue roles such as Data Scientist, Machine Learning Engineer, AI Developer, and more. The comprehensive curriculum provides a strong foundation for career advancement, ensuring professionals are well-equipped to tackle the evolving landscape of data science.
  • Get the Full Stack Data Science Course Syllabus with the Croma Campus team and start a transformative career journey with experts today.

  • Holistic Skill Set:
    • 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.

  • Industry Relevance:
    • 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.

  • Versatility:
    • 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.

  • Data Analysis and Interpretation:
    • Proficiently analyze large datasets to extract meaningful insights.

      Interpretation of data trends and patterns for informed decision-making.

  • Machine Learning Model Development:
    • Development and implementation of machine learning models tailored to specific business needs.

      Continuous refinement and optimization of machine learning algorithms.

  • Big Data Processing:
    • Expertise in processing and analyzing vast datasets using big data technologies.

      Ensuring scalability and efficiency in managing large volumes of data.

  • Data Visualization:
    • Creation of visually compelling representations of data insights.

      Use of visualization tools to communicate complex data findings effectively.

  • Advanced Statistical Analysis:
    • Application of advanced statistical techniques for predictive analytics.

      Incorporation of statistical models to enhance the accuracy of data-driven predictions.

  • Implementing AI Solutions:
    • Designing and implementing artificial intelligence solutions.

      Integration of AI technologies to automate processes and enhance decision-making.

  • Technology and IT:
    • Demand for data science professionals in tech companies for innovative solutions.

  • Healthcare:
    • Utilization of data science in healthcare for improved patient outcomes and operational efficiency.

  • Finance:
    • Application of data science in financial institutions for risk management and fraud detection.

  • E-commerce:
    • Leveraging data science to enhance customer experience and optimize business operations.

  • Manufacturing:
    • Implementation of data-driven processes in manufacturing for efficiency and quality improvement.

  • Upon successful completion of the fullstack Data Science Course, participants receive a prestigious training certificate. This certificate serves as tangible evidence of their acquired skills and knowledge in the field of data science. Recognized by industry professionals, the certificate enhances the graduates' credibility and employability.
  • Embark on a transformative journey in data science with the Full Stack Data Science Course, unlocking a world of opportunities and growth.

Why Should You Choose Full Stack Data Science Course?

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Plenary for Full Stack Data Science Course

Track Week Days Weekends Fast Track
Course Duration 40-45 Days 7 Weekends 8 Days
Hours 1 Hrs. Per Day 2 Hrs. Per Day 6+ Hrs. Per Day
Training Mode Classroom/Online Classroom/Online Classroom/Online
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Take class during weekdays and utilize your weekend for practice.

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Take class during weekdays and utilize your weekend for practice.

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More Suitable for working professionals who cannot join in weekdays

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Mock Interviews

Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.
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Validate your skills and knowledge by working on industry-based projects that includes significant real-time use cases.Gain hands-on expertize in Top IT skills and become industry-ready after completing our project works and assessments.Our projects are perfectly aligned with the modules given in the curriculum and they are picked up based on latest industry standards. Add some meaningful project works in your resume, get noticed by top industries and start earning huge salary lumps right away.
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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.

Career Assistancecareer assistance
  • - Build an Impressive Resume
  • - Get Tips from Trainer to Clear Interviews
  • - Attend Mock-Up Interviews with Experts
  • - Get Interviews & Get Hired
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