Python
Pandas
MatplotLib
Statistical Analysis
Linear Regression
Neural networks
Data Mining
Data Collection
Data Scientist
Data Science Trainer
Data Analyst
Database Administrator
Business Analyst
Big Data Engineer / Data Architect
Course Duration: | Mandatory 90 hrs of training sessions with live projects to practice. Hours are inclusive of training sessions and hands-on project participation |
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 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 field. 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. |
Data Science Course Contents: | Python, Pandas, MatplotLib, Statistical Analysis, Linear Regression, Data Mining, Data Collection |
Certification: | JAIN University, Bangalore |
Advanced courses focus on preparing you for your career, and they offer many opportunities
for work experience as well as workshops and live briefings with employers.
Any graduates could join AIT’s Advance Course for securing a better career opportunity in
software application development courses.
The highest-ranking employee in any company who is in high demand. As a data
scientist,
you must comprehend business problems, establish data analysis methods, gather, clean up,
and organise the necessary data,
use the appropriate tools to apply algorithms and procedures, and provide suggestions
supported by data.
In the data science certification course program, you will go through the techniques and
tools of real-world business problems,
you will solve an industry-related problem by completing a high-quality industrial project
under the guidance of a mentor.
To construct and fine-tune data models, the capstone project will address all essential
aspects of data extraction, cleaning, and visualisation.
An overview of linear and non-linear regression models, classification techniques for data
analysis, an in-depth understanding of data structure,
and data manipulation ideas and procedures is provided in this course on data science for
beginners.
→ Students in Computer or Maths and form EC, CSE & Statistics background
→ IT Professionals
→ Analytics Managers
→ Business Analysts
→ Banking and Finance Professionals
→ Beginners or Recent Graduates in Bachelor or Master’s Degree
→ Supply Chain Network Managers
→ Individual Attention
→ Career Guidance
→ Six Months Post Completion Internship
→ Live Project
→ Experience Certificate
→ Placement Assistance
→ University Approved Certification