Additionally, these reviews offer a great way to learn more about the teaching style and quality of instruction, as well as how successful graduates have been in applying their newfound skillset in their future career paths.

At Analytics Jobs, we are devoted to giving our readers an in-depth understanding of the standard of content and teaching methods used by Analytics Vidhya instructors. To accomplish this, we have asked all current and former students of Analytics Vidhya to submit their honest reviews of the data science course, allowing them to make educated decisions about enrolling.

Furthermore, we have created a thorough review on our YouTube channel and blog that covers the curriculum, possible projects, and job advancement opportunities after completion. This review will provide a complete overview of data science – its scope, uses, and benefits – so potential students can decide if it is the correct path for them to take.

Analytics Vidhya  Reviews: A Fruitful Insight

Analytics Vidhya is a vibrant community dedicated to data science, AI, and analytics, fostering a supportive environment for the next generation of AI experts.

We at Analytics Jobs made it possible to choose different roles and responsibilities, along with the knowledge being mainly an industry-ready skill in the market. Hence, this Analytics Vidhya Reviews is going to give an idea about what to choose and how to choose. To learn more about Analytics Vidhya Reviews, visit our YouTube channel.

Introduction

Through this Analytics Vidhya Reviews article, we want to create a passionate community that dedicates itself to the study of Analytics Vidhya courses and certification programs. We share our research and tips on Analytics Vidhya in this article. Whether you are an expert or someone who just started to take a step in the Data Science field. These Analytics Vidhya Reviews have been purposely compiled to make it possible to choose your courses wisely.

Understanding Analytics Vidhya: Through Comprehensive Analytics Vidhya Reviews

Over the years, a part-time blog started as a science learning platform, now helping millions of people learn data science daily, transforming into one of the top global portals. Analytics Vidhya initially focused on science education. Its founders recognized the growing demand for data science and analytics knowledge. They envisioned a platform that would empower learners, professionals, and enthusiasts alike. Analytics Vidhya reviews through this article will give fruitful insight into the platform.

History and Evolution: An Introduction to Analytics Vidhya Reviews Through Analytics Vidhya Reviews

Analytics Vidhya reviews give you deep insight into the platform. Kunal Jain, the Founder of the company showed Analytics Vidhya the first light of the day in April 2013. In April 2013, the blog launched to become a resource for analytics and data science professionals. In 2018, targeted courses and B2B training were launched, setting a new benchmark in applied learning. In July 2022, 1729 was introduced as a resourceful hub for AI and ML enthusiasts, and Datahour was launched in September 2023.

Little did Kunal know that we would reach this far. Kunal Jain, a renowned data science expert, recognized the need for a dedicated community and hands-on analytics training among professionals. During his time at Aviva, he recognized the gap in knowledge and resources in the emerging field of data science. To bridge this gap, he launched Analytics Vidhya, a part-time blog, aiming to share his insights with a wider audience.

Over time it evolved and  Analytics Vidhya offers a comprehensive AI and ML program, including the Certified AI & ML BlackBelt Plus Program, a 500-hour course, and the Generate AI Pinnacle Program, a 200-hour deep dive into diffusion models and reinforcement learning. With a global reach, it remains a beacon of knowledge and opportunities.

Analytics Vidhya serves millions of data enthusiasts worldwide, with over 50,000 registered users. With a dream of unleashing a new era based on data science, the platform aims to provide a comprehensive understanding of data and its applications in various fields.

Founder and Executive Officers:

Kunal Jain, Chief Executive Officer

Divya Jain, Director

Explore the career tracks, institutional affiliations, and certifications provided by Analytics Vidhya through insights shared in Analytics Vidhya Reviews.

Analytics Vidhya offers a comprehensive 500-hour program, covering 27 courses in AI and machine learning. The program includes well-organized assignments and projects, with mentorship sessions providing valuable guidance. The program’s content quality is satisfactory, and the well-organized projects provide significant benefits. The mentorship sessions are valuable, and the program’s depth and relevance are appreciated by participants. Analytics Vidhya has transformed from a part-time blog into a global portal, providing knowledge, skills, and career opportunities for data scientists worldwide.

Various Analytics Vidhya reviews explain that the course and program provided valuable experiences for learners transitioning from Python to machine learning. The program offered a well-designed curriculum, supportive staff, and excellent content, ensuring a comprehensive understanding of various concepts and projects.

Diving deeper into the Analytics Vidhya reviews talk about how Analytics Vidhya, in partnership with KPMG, offers customized data science and analytics training to various companies, benefiting over 3,500 learners across various industries. The company also invites top analytics clubs to partner with them, enhancing data science activities. Analytics Vidhya also provides information about high-paying analytics jobs and collaborates with KPMG in India to deliver virtual sessions on various data science tools and technologies, enhancing knowledge and skills in the field.

Key Strategies Implied to Flourish: Learn Through Comprehensive Analytics Vidhya Reviews

Analytics Vidhya offers a variety of learning resources, including podcasts and expert sessions, which have simplified complex concepts for a more accessible and comprehensive learning experience.

Content Quality: Learners find the content satisfactory, but there’s room for improvement.

Here are the key strategies that Analytics Vidhya Reviews employs to flourish:

• Assignments and Projects: Well-organized assignments and projects provide significant benefits.
• Mentorship Sessions: Beneficial if the assigned mentor is genuinely interested in providing proper guidance.
• Variability in Mentor Quality: Some mentors excel, while others fall short of expectations.
• Depth and Relevance: Participants appreciate the program’s depth and relevance.
• Customized Learning: Designed for self-paced learning for the individual.
• Global Impact: Analytics Vidhya, a part-time blog, has transformed into a global portal, relying on millions of learners for knowledge, skills, and career opportunities daily.

Detailed Analysis On Accessibility of Analytics Vidhya Website: Through Comprehensive Analytics Vidhya Reviews

 

1. Layout and Design:

Homepage: Analytics Vidhya’s homepage is well-organized, featuring a clean and intuitive design. The use of vibrant colors and concise text facilitates easy navigation.

Category Sections: Courses are neatly categorized, making it simple for users to find relevant programs. Visually appealing banners highlight featured courses and promotions.

Responsive Design: The website employs a responsive design, ensuring a seamless experience across various devices.

2. Navigation Ease and Accessibility Features:

Intuitive Menu: The navigation menu is straightforward, offering easy access to key sections like Courses, Resources, and Corporate Training.

Search Functionality: A robust search feature allows users to quickly locate specific courses or topics of interest.

Accessibility Features: Analytics Vidhya demonstrates a commitment to accessibility with alt text for images and readable font sizes, catering to users with diverse needs.

3. Mobile Compatibility and App Functionality:

Mobile Responsiveness: Analytics Vidhya’s website is optimized for mobile devices, delivering a consistent and user-friendly experience on smartphones and tablets.

Mobile App: Analytics Vidhya offers a dedicated mobile app that enhances the learning experience on the go. The app is available on both Android and iOS platforms.

App Functionality: The mobile app replicates key features of the website, allowing users to access courses, participate in live classes, and complete assignments seamlessly. Offline learning options enhance flexibility.

Ebook:- Analytics Vidhya has designed the ebook for the accessibility of the learner and users. To have a better idea about certain topics and the courses along with the blogs.

4. Course Pages and Information Architecture:

Course Pages: Each course page is well-structured, providing a comprehensive overview, curriculum details, and instructor information.

Enrollment Process: The enrollment process is streamlined, guiding users through a clear and concise series of steps to sign up for courses.

Progress Tracking: Users can easily track their course progress, view completed modules, and access additional resources.

List of Courses Offered through Domain & Certification Program: A Comprehensive Analytics Vidhya Reviews

Analytics Vidhya simplifies complex topics with industry-relevant projects, providing easy-to-understand content and personalized support for learners, enhancing portfolio building and learning experience. Analytics Vidhya provides a range of courses in Data Science, Machine Learning, Deep Learning, and Business Analytics.

Analytics Vidhya has categorized courses in different domains. Here is the list:-

Free Courses:

1. Nano Course: Building Large Language Models for Code: Learn about language models for code in this free course.
2. Machine Learning Certification Course for Beginners: A beginner-friendly course covering the fundamentals of machine learning.
3. Pandas for Data Analysis in Python: Dive into data analysis using Pandas.
4. Introduction to Python: Get started with Python programming.
5. Introduction to Business Analytics: Explore the basics of business analytics.
6. Getting started with Decision Trees: Understand decision tree algorithms.
7. Introduction to Natural Language Processing: Learn the essentials of NLP.
8. Tableau for Beginners: Discover data visualization with Tableau.
9. Writing Powerful Data Science Articles: Enhance your communication skills in data science.

Certified Programs:

1. Certified Machine Learning Master’s Program (MLMP): A comprehensive program covering machine learning concepts.
2. Certified Natural Language Processing Master’s Program: Dive deep into NLP techniques.
3. Certified Computer Vision Master’s Program: Explore computer vision applications.
4. Certified Business Analytics Program: Gain insights into business analytics.
5. Certified AI & ML Blackbelt Plus Program: This comprehensive certified program combines the power of data science, machine learning, and deep learning to help you become an AI & ML Blackbelt! It covers in-demand industry-relevant AI skills, making it suitable for beginners and those looking to upskill.

EBooks:

• What is Machine Learning: Understand the basics of machine learning.
• Natural Language Processing: Learn about NLP.
• Tree-Based Algorithms: Explore tree-based algorithms.
• Statistics 101: Brush up on statistical concepts.
• Machine Learning Simplified: Simplified insights into ML.

Navigate Through the Analytics Vidhya Certified AI & ML Blackbelt Plus Program with Analytics Vidhya Reviews

There are many more specializations in this designed program. For more detailed information, you can click on the link. Analytics Vidya Certified AI & ML Blackbelt Plus Program is very vast and detail-oriented to have a basic understanding of Data Science and AI. After completing this course you are going to get advanced knowledge along with the Black Belt Plus certification.

• Comprehensive Coverage: The course covers a wide range of topics essential for a career in data science, starting from foundational concepts to advanced techniques. It encompasses areas such as data exploration, statistical inference, machine learning, deep learning, and cloud computing.
• Structured Learning Path: The course follows a structured learning path, starting with fundamental concepts such as data exploration and statistical inference before progressing to more advanced topics like deep learning and recommendation systems. This structured approach ensures learners build a strong foundation before delving into more complex subjects.
• Practical Focus: Each topic is accompanied by practical exercises and hands-on projects, allowing learners to apply theoretical concepts in real-world scenarios. This practical focus helps reinforce learning and develop practical skills essential for a career in data science.
• Emphasis on Communication: Apart from technical skills, the course also emphasizes problem formulation, communication, and storytelling. These skills are crucial for effectively communicating insights derived from data analysis to stakeholders and decision-makers.
• Integration of Tools and Technologies: The course covers a diverse range of tools and technologies commonly used in data science, including Python, PyTorch, Apache Spark, MongoDB, and Hadoop. By learning these tools, learners gain versatility and are better equipped to handle various data science tasks and challenges.
• Focus on Career Development: In addition to technical skills, the course offers career-oriented services and guidance for data science interviews. This includes interview preparation, resume building, and tips for succeeding in data science roles, making it a comprehensive resource for aspiring data scientists.
• Adaptability to Industry Trends: The inclusion of topics such as computer vision, natural language processing (NLP), recommendation systems, and time series analysis reflects the course’s adaptability to emerging trends in the data science industry. This ensures that learners are equipped with relevant skills to tackle contemporary challenges.
• Flexibility in Learning: The course offers flexibility in learning, allowing learners to progress at their own pace. Whether beginners or experienced professionals, individuals can benefit from the course’s structured curriculum and hands-on learning approach.

Explore the Analytics Vidhya Certified AI & ML Blackbelt Plus Program alongside Analytics Vidhya Reviews to gain insights into this transformative learning experience.

Preview of Analytics Vidhya Certified AI & ML Blackbelt Plus Program

Analytics Vidhya reviews clarify the learning approaches of this platform that has defined the course Data science is a vast field with numerous resources available. To help aspirants, a structured learning path is provided for those aspiring to become a data scientist. The path includes in-demand skills like storytelling and model deployment, along with exercises and assignments.

A data scientist is a crucial professional in the field, and navigating the vast resources available can be overwhelming. However, a structured learning path is available to help beginners. This course offers a beginner-friendly approach, covering all necessary topics and providing links to relevant resources and hackathons. It also includes an updated skill set for the course, including storytelling and model deployment, along with assignments and MCQs to test knowledge. This comprehensive resource is designed to help individuals become successful data scientists in the future.

Analytics Vidhya Certified AI & ML Blackbelt Plus Program provides a comprehensive learning experience that combines theoretical knowledge with practical application through guided projects and real-world projects. Participants gain skills, confidence, and connections needed to succeed in the competitive field of AI and machine learning. The program covers in-demand industry-relevant AI skills, making it suitable for beginners and those looking to upskill.

Key Features of The Analytics Vidhya Certified AI & ML Blackbelt Plus Program 

• Flexible Learning
• Comprehensive Curriculum
• 50+ Real-world Projects
• 23+Tools
• On-demand Mentorship
• Personalized Learning Path
• Placement Assistance
• World-class Faculty

Course Fee of Analytics Vidhya Data Science Course 

₹69,999

(Inclusive of all taxes)

Eligibility Criteria Analytics Vidhya Data Science Course  

• You are eyeing data scientist, data analyst, business manager, or data engineer job roles
• You are a business/data translator within your organization and part of your job is to coordinate tasks between Data Scientists and executive decision-makers
• You are looking to break into the world of data and leverage it to make analytical decisions across functions and industries
• You want to build foundational skills in analytics over a short-term period with a manageable resource commitment

Curriculum of Analytics Vidhya Data Science Course 

•  Data Science Toolkit 

• Data Exploration and Statistical Inference 

•  Storytelling and Dashboarding 

•  Basic Machine Learning 

•  Feature Selection and Engineering 

•  Problem Formulation and Communication 

•  Advanced Machine Learning 

•  Computer Vision using PyTorch 

•  Getting Started with NLP 

•   Deep Learning 

•   Recommendation Systems 

•   Time Series using Python 

•   Career-oriented services and Data Science Interviews 

•  Advanced Python and Software Engineering Fundamentals 

•  Fundamentals of MongoDB 

•  Fundamentals of Apache Hadoop 

•  Fundamentals of Apache Hive 

•  Mastering Apache Spark with Python 

•  Fundamentals of Cloud 

•  Introduction to Spark Streaming 

•  Deploying ML/DL Models 

Tools 

Let’s know the Mentors 

Ranjan has 6+ years of experience in Data Science at Amazon India with experience in Python, SQI, Machine Learning, and Data Analytics. He is passionate about assisting students in their Data Science Careers.

 Lalit has 8+ years of experience in analytics spanning predictive modeling with statistics/ML/DL algorithms, NLP, Data Engineering, and Data Visualization.

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Pros and Cons of Analytics Vidhya

Pros	Cons
According to the Analytics Vidhya reviews, Analytics Vidhya has specialization courses categorized by names. Ex- Blackbelt.	According to the Analytics Vidhya reviews, Analytics Vidhya designed the course in a certificate program manner rather than a full course.
According to the Analytics Vidhya reviews, The Vidhya application and website have various features for accessibility.	According to the Analytics Vidhya reviews, The courses are not well defined in the domain except the core of it.
According to the Analytics Vidhya reviews, Analytics Vidhya has specialized categorizations of courses for better understanding.	According to the Analytics Vidhya reviews, Analytics Vidhya courses cover a lengthy syllabus.
According to the Analytics Vidhya reviews, Personal Assistance Support is being provided.	According to the Analytics Vidhya reviews, Analytics Vidhya Hasn’t shared details about mentors.
According to the Analytics Vidhya reviews, A refund policy is available.	According to the Analytics Vidhya reviews, Analytics Vidhya does not have an EMI option.

 

Conclusion

In conclusion, through Analytics Vidhya reviews, Analytics Vidhya emerges as a premier destination for individuals seeking to advance their careers in the fields of data science, artificial intelligence, and machine learning. Through their Certified AI & ML Blackbelt Plus Program and other offerings, Analytics Vidhya provides a comprehensive learning experience that encompasses both theoretical knowledge and practical application.

With a focus on personalized guidance, hands-on projects, and mentorship, participants are equipped with the skills, tools, and confidence needed to succeed in today’s competitive job market. The platform’s commitment to excellence is reflected in the numerous positive Analytics Vidhya reviews, highlighting its effectiveness in empowering individuals to achieve their professional goals and thrive in the rapidly evolving field of data science and AI.

Looking into the Analytics Vidhya Reviews shared by customers provides valuable insights into the platform’s effectiveness, reliability, and overall quality.

Analytics Vidhya Reviews: MouthShut

1. Don’t ever fall into their trap, it’s a total fraud company, the tutorials are filled with wrong explanations, and they won’t even attend your call after the payment. The EMI option is a trap for customers, as you came to know these courses are worthless and full of errors in explanation.
2. Kunal Jain and Sunil Ray are fraudsters who are stealing thousands of students through BootCamp and BlackBelt, with poor management and poor content and support.
3. Mentorship sessions helped in guidance and finding a job. Course content is easy to learn and understand.
4. Helpful course, good content, good for freshers. 1:1 live mentorship sessions are a plus. AV is an amazing platform

Analytics Vidhya Reviews: Trustpilot

1. The education provided is misleading and untrustworthy, with multiple mistakes and no response to questions. The 14-day refund policy is misleading, with conditions that do not cover the full price.
2. Ankur, a dedicated mentor at Analytics Vidhya, provided invaluable guidance during mentorship sessions. While some mentors were quick to wrap up, others went above and beyond to address essential doubts, demonstrating the positive impact of mentorship on the student’s learning experience.
3. The Black Belt Program offers clear, concise study material, quizzes, and one-on-one sessions with industry experts, making it a valuable and effective learning experience.

Analytics Vidhya Reviews: CourseReport

1. Did training in certified Scrum Master, Great experience with a great trainer, very knowledgeable and highly professional session Ms Jaya, the trainer on KnowledgeHut Upgrade. I would recommend for going training on this platform
2.  I have recently completed CSM training from KH & as usual, it has met my expectations. They have quality & certified trainers to help us understand the concept & quote real-time examples. The quality is good.
3. Highly recommend the trainer, who is very good at explaining the scrum concepts in detail. Assists CSM very well and provides material for certification.
4. I have recently completed CSM training from KH & as usual, it has met my expectations. They have quality & certified trainers to help us understand the concept & quote real-time examples. The quality is good.     

Analytics Vidhya Reviews:- Analytics Jobs

1. I am an alumnus of Analytics Vidhya, and 2 years before completed their Data Science Immersive Bootcamp. This Bootcamp promises a 100% placement guarantee for all batchmates, the first false promise by Analytics Vidhya.
2. I worked as an intern with Analytics Vidhya in a data science course. I joined it as a full-time employee because it had been a great experience from the beginning. 
3. At Analytics Vidhya, I interned in data science. From beginning to end, it had been a pointless experience. I advise against enrolling in Analytics Vidhya’s data science program. 
4. Certificates are incredibly pointless. The Analytics Vidhya Certification is not recognized by any organization. They also are curious about Analytics Vidhya.

Frequently Asked Questions (FAQs)

• Who is this program for?

Ans:- Anyone who wants to kickstart a career in the data domain or wants to up-skill will benefit from the certified AI & ML BlackBelt Plus program.

• When will the class be held?

Ans:- This is a completely self-paced program, allowing you the freedom to choose your time for learning.

• When can I book the mentorship?

Ans:- Once you enroll in the certified AI & ML BlackBelt Plus program you can book 1 mentorship every week.

• Is Analytics Vidhya a decent company to work for? 

Ans. Analytics Vidhya has an overall rating of 3.8 out of 5 based on over 80                  anonymous employee evaluations. 72% of employees would recommend working at Analytics Vidhya to a friend, and 32% have an optimistic outlook for the company.

• Does Analytics Vidhya provide placement?

Ans. Analytics Vidhya provides 100% placement aid for their Bootcamp course, as well as networking opportunities with industry experts and a community of data science professionals.

 

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