Python
NumPy
Pandas
Matplotlib
SQL
PowerBI
Supervised Learning
Unsupervised Learning
NLP
DeepLearning
Data Scientist
Data Engineer
Data Analyst
Business Analyst
| Course Duration: | 6 months of training classes with a hands-on project to practice. Provision of an optional 12 months internship including the training period. Students should have completed an assessment upon joining to evaluate their basic skills. |
| Curriculum Delivery: | Online training, Onsite training, Virtual training, Corporate training. |
| Timings & Schedules: | Both on Weekdays / Weekends |
| Extras: | Mock Tests, Interview Questions & Answers will be covered along with the course. |
| LAB Facility: | Our training courses are designed to provide an optimal learning environment. For students to learn to code or access our Cloud Platform, we have a well-equipped lab facility with simulation tools and powerful processors that can run complex simulations and display scenes. Qualified lab tutors can provide students with the most up to date technologies and are experts in their fields. In order to give our interns the finest training environment for learning different coding and software development skills, we also offer internships in this facility. |
| Course Contents: | Python, NumPy,Pandas, Matplotlib,SQL,PowerBI, Supervised Learning,Unsupervised Learning |
The Career Craft Course is a 6-month job-guaranteed program tailored to equip students with essential skills and knowledge for securing employment in diverse sectors across India. This course focuses on practical training, blending industry-relevant expertise with hands-on experiences that prepare participants to meet real-world job demands. By providing comprehensive resources and support, the Career Craft Course aims to boost employability and open doors to numerous career opportunities, making it the perfect choice for aspiring professionals eager to establish a successful career.
The Job Guarantee Data Science Course offered by Atees Industrial Training is designed to equip students with the essential skills and knowledge needed to excel in the dynamic field of data science. Over the course of this program, participants will engage in hands-on training covering key topics such as data analysis, machine learning, statistical modeling, and data visualization. With a strong emphasis on practical applications, students will work on real-world projects, ensuring they are well-prepared for the job market. This comprehensive curriculum not only enhances technical expertise but also guarantees job placement, making it an ideal choice for those looking to build a successful career in data science.
→ Job Seekers, Freshers, Web Developers, Web Designers, Software Developer, Graduates, IT Professionals.
→ Optional post-completion Internship program
→ Live project during internship
→ Individual Attention
→ Course completion certificate
→ Experience Certificate
→ Career Guidance
→ Placement Assistance
→ Interview Assistance with Mock Interviews
Many students get the opportunity to participate in internships based on performance and availability. These internships help learners gain practical industry exposure and boost their confidence before entering the job market.
The course is suitable for students, graduates, and working professionals with basic computer knowledge. A background in maths or programming can be helpful, but AIT provides foundation sessions to support beginners.
AIT’s programme stands out due to its structured curriculum, industry-oriented projects, personalised mentoring, and strong placement assistance. Students gain practical skills that align with the hiring needs of IT companies in Kerala and outside.
Learners gain expertise in Python, SQL, statistics, data cleaning, data visualisation, machine learning algorithms, model evaluation, and basic AI concepts. The course also helps students improve analytical thinking and problem-solving abilities.
The duration typically ranges from 3 to 6 months, depending on the student’s learning pace and whether they choose weekday or weekend batches. The structure ensures enough time for theory, practice, and project work.
Yes. Students work on multiple real-world mini-projects and one capstone project to apply their learning. This practical exposure is crucial for building a strong portfolio for job applications.
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