Overview

The Certified Data Science Professional course by SkillFloor is designed to equip learners with essential data science skills, from understanding core statistical concepts to applying machine learning algorithms and data visualization techniques. Through this course, students will master tools like Python, R, and Tableau, and gain hands-on experience working with real-world data sets. Whether you're new to data science or looking to advance your skills, this course offers a comprehensive learning path to become proficient in data manipulation, predictive modeling, and business analytics.

What sets this course apart is its practical, project-based approach and the expert guidance provided by seasoned professionals in the field. Learners will not only gain in-depth theoretical knowledge but also build a portfolio through real-world projects and case studies, making them job-ready upon completion. With a recognized certification and guaranteed internship placement, graduates of this course will be well-prepared to pursue careers as data scientists, analysts, or business intelligence professionals in diverse industries.

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₹60,000

₹14,900

Skill Level

Advanced

Internship

1 Month

Live Project

3

Certificate

Yes

Live Training

Yes

Career Assistance

Yes

Expiry Period

Lifetime
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Course Highlights

  • Comprehensive Curriculum: Learn all key topics in data science, including data analysis, machine learning, and statistical modeling, ensuring a solid understanding of both theory and practical applications.

  • Hands-On Projects: Work on real-world projects that allow you to apply what you’ve learned, helping you build a strong portfolio to showcase your skills to potential employers.

  • Expert Mentorship: Get guidance from experienced instructors who share industry insights and help you overcome challenges throughout the course.

  • Flexible Learning: Study online at your own pace, fitting your learning around your schedule, whether you prefer a structured approach or a more flexible style.

  • Industry-Recognized Certification: Earn a certification upon completion that is valued by employers, boosting your credibility in the job market.

  • Internship Opportunities: Gain practical experience through internships with leading companies, applying your skills in a real work environment and building your professional network.

  • Networking Opportunities: Connect with industry professionals and peers through networking events, which can open doors for future job opportunities.

  • Career Support: Access career services, including resume workshops and interview preparation, to help you land your dream job.

  • Data Visualization Skills: Learn to present data clearly using tools like Tableau and Matplotlib, making your insights easier to understand and act upon.

  • Latest Tools & Technologies: Get hands-on experience with important tools and programming languages in data science, such as Python, R, and SQL, enhancing your skills for today’s job market.

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Certification

The Certified Data Science Professional course culminates in a recognized certification that validates your expertise and skills in data science. This certification demonstrates your ability to analyze complex data, apply machine learning techniques, and derive meaningful insights from data sets. It enhances your resume and signals to employers that you have completed a comprehensive training program focused on practical applications and industry standards. Earning this certification can significantly boost your career prospects, opening doors to various opportunities in the rapidly growing field of data science.

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Tools Covered

Python, Matplotlib, TensorFlow, PyTorch, toolstools_covered Python, Matplotlib, TensorFlow, PyTorch, tools

Top 10 reasons

  1. High Demand: Data science is one of the fastest-growing fields, with a high demand for skilled professionals.
  2. Lucrative Salaries: Data science professionals often command high salaries and benefits.
  3. Diverse Career Paths: Opportunities in various sectors, including finance, healthcare, and technology.
  4. Hands-On Experience: Practical projects help build your portfolio and enhance your skills.
  5. Networking: Build connections with industry leaders and peers, opening doors to future opportunities.
  6. Skill Development: Gain in-demand skills that are essential for success in data science.
  7. Flexibility: Study at your own pace with online course access and flexible scheduling.
  8. Mentorship: Receive guidance from industry experts to navigate your career path.
  9. Internship Experience: Enhance your resume with relevant work experience through internships.
  10. Certification: Stand out in the job market with an industry-recognized certification.

Why SKILLFLOOR ?

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