Data Science Professional
viaAnalytica Camp•
5.0 Rating
Difficulty
Beginner
Cost
N/A
Format
Instructor Led
Delivery
Online
Time Commitment
24 weeks 1 hrs/week
Analyticamp's Data Science Professional Bootcamp is an intensive, live online program focusing on software engineering fundamentals, Python, R, SQL, data analysis, machine learning, and deep learning. Delivered through a project-based approach, this bootcamp empowers learners with hands-on experience in data science tools and techniques. Ideal for aspiring data professionals, the course provides comprehensive training to build practical skills for the data-driven world.
Aspiring data science professionals
Ideal for those with basic programming knowledge
No formal prerequisites required
Live online instruction with interactive sessions
Hands-on projects using Python, R, and SQL
Focus on machine learning and deep learning techniques
Comprehensive data science skill set
Proficiency in Python, R, and SQL
Applicability to various data-centric roles
No certifications are covered by this course.
Student 2025
The program was well-structured, practical, and highly informative, providing valuable industry-relevant skills.The Intellipaat support team was always prompt and helpful, making the entire learning experience smooth and enjoyable. Highly recommended for anyone looking to upskill and grow professionally.
Student 2024
I highly recommend reaching out to clarify any doubts and ensure a thorough understanding of the course content before enrolling, as it can greatly enhance your learning journey. The customer team's responsiveness in addressing my queries played a significant role in my decision to enroll in one of their course offerings.
Graduate 2021
My coursera experience has amazingly ausome. From the R coding classes to leadership and academic stimulating courses, I have gained a great insights and acquire certification that earn me great adge in job placement and respect among my peers. I influence and mentor lots of postgraduate and undergraduate students to gain new skillsets the prepare them well for the dynamics of today's labour' market.
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