Learn AI Integrated Data Analytics & Data Science Courses
Project-based Data Science and Data Analytics Courses in Malayalam to gain in-demand skills and become job-ready!
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Course Overview
Entri offers a Professional Certificate Program in Data Analytics and Data Science, crafted by industry experts to help learners gain in-demand skills. These advanced data science and data analytics courses provide hands-on training through real-world projects, enabling you to apply concepts directly to practical scenarios. By the end of the program, you’ll have the knowledge and confidence to build and deploy machine learning models for diverse applications, along with an industry-recognized certification that strengthens your career prospects.
- Live & Recorded Sessions
- Globally Recognised Certifications
- Placement Assistance
- Internship Opportunities
- Capstone Projects
- Soft Skill Training
- Industry Expert Guidance
Tools covered
Illuminate the path to insights! Unlock the power of data science learning with these necessary tools!
Industry Expert Mentors
Learn from the best in the business. Gain invaluable insights and advice from industry expert mentors, dedicated to nurturing your professional growth and success
Anil Unnikrishnan
STAR Labs, Samsung
Founding member of Samsung’s Technology and Advanced Research (STAR) Lab. A FISAT graduate with iOS engineering experience and a master’s degree in video games, Anil Unnikishanan has explored various realms of software development which he breaks down in its simplest form for his students
Narayan Babu
Vice President
Creator of India’s first mobile AI startups like ‘Friday’ & ‘Iris’ and worked with True Caller, India Glance. As a developer with enthusiasm for the field of engineering, he works in the Zeta Suite as the head of product and engineering. With significant experience & exposure to the field & high-profile industry experts, he enlightens young developers to explore the untouched areas of AI.
Dinesh Karthik Raveendran
Data Engineer
Senior Data Engineer (Tesla) experienced in building & maintaining optimised, scalable & highly available data pipelines ingesting data into Data Lake & Data warehouse which facilitate deeper analysis, reporting & modelling
Amrit Sanjeev
Staff Developer Advocate
Senior Data Engineer (Tesla) experienced in building & maintaining optimised, scalable & highly available data pipelines ingesting data into Data Lake & Data warehouse which facilitate deeper analysis, reporting & modelling
Course Reviews
Dejena
Placed at Ucpro
My journey into data science and machine learning on Entri Elevate, was transformative, with their teaching style and support opening up incredible career opportunities. Thanks to Entri’s placement department, I secured a prestigious support assistant position at Ucpro and I highly recommend their courses to anyone interested in this field.
Navaneeth
Placed at Beat Centre of Excellence
Hi, I’m Navaneeth. I express my sincere gratitude to Entri for helping me to grab this invaluable opportunity. As an Engineer and a Data Enthusiast, I had been ardently seeking a career transition into the dynamic realm of Data Science. Entri helped me in my learning journey from its very beginning stages, empowering me to secure a promising entry-level position within the field of Data Science. My heartfelt appreciation to the Faculties and Placement Team of Entri for this significant milestone in my professional development.
Alvis John Varghese
Placed at BZ Analytics
Entri DSML course provided a valuable opportunity to gain foundational knowledge in data science and machine learning. It served as an excellent entry-level course, allowing me to familiarize myself with the key concepts and principles in the field. I believe it was worth the investment considering the entry it provided into the world of data science.
Placement stories
Our Other Programs
Explore our diverse range of courses – designed to empower your journey with knowledge, skills, and real-world applications.
AWS Solutions Architect
The AWS Solutions Architect Associate course equips learners with the skills to design and implement scalable, secure, and cost-efficient cloud infrastructure using AWS. Through hands-on labs and real-world projects, you’ll master core AWS services, best practices for high-availability solutions, and strategies for optimizing performance and cost.
Full-Stack Web Development
The programme is designed to provide a comprehensive understanding of creating and maintaining websites and web applications to function smoothly. Full stack development refers to the development of both the front-end (client-side) and back-end (server-side) parts of a web application.
Python Programming
Python programming language is a popular, versatile language used in web development, data science, AI, and automation, offering ample opportunities. With direct execution and strong community support, it provides many libraries and tools, including object-oriented programming and dynamic typing features, benefiting developers.
Software Testing
Testing involves assessing a system or its elements to determine if they meet the specified requirements. This evaluation yields the actual outcomes, expected results, and the disparities between them. In simpler terms, testing means running a system to uncover any gaps, errors, or unfulfilled requirements compared to what’s actually needed or desired.
FAQ
Frequently asked questions about our courses
Data Science is the process of analyzing and interpreting large amounts of data to extract useful insights and knowledge
Data Science is a broader field that involves using various techniques, algorithms, and tools to extract insights and knowledge from structured and unstructured data. Data Science involves not only analyzing data but also developing predictive models, creating machine learning algorithms, and building data-driven products. On the other hand, Data Analytics focuses on extracting insights and useful information from data by analyzing it. It is a narrower field that involves collecting, processing, and performing statistical analyses on data. The main goal of Data Analytics is to uncover patterns and trends in data that can inform business decisions or improve operational efficiency. In summary, Data Science is a more comprehensive field that includes Data Analytics, along with other techniques and tools for data processing, modeling, and product development.
We have 4 kinds of sessions in this program Core session: The curriculum will be covered in this session. Coding skills session : Basic coding skills and the latest coding trends will be covered in this session Soft skill session: Communication skills, Interview skills, GD skills, English communication etc will be covered in this session Industry Expert session: Experts from global companies will give an insight about the latest industry relevant topics, career journey, best practices etc. Core sessions: 1 – 2 sessions per week will be there with a timespan of 1 – 1.5 hours. Maximum 30 learners per batch.
Coding Skill, Soft Skill and industry expert sessions will be 1 session per week. This will be multiple batches combined sessions to drive community engagement.
For a data analyst / business analyst job, learning coding is not mandatory, but it is beneficial. Having some knowledge of programming will enhance your ability to work with data and increase your efficiency and improve the job prospects. For a data scientist , coding is an absolute must.
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