Data Science Preparatory
Boost your skills and gain a valuable career
opportunity in data science by attending this Bootcamp
Mode of Delivery
Online + Live Interactions
Course Start Date
31st Aug 2022
SIMACES Learning has been working towards up-skilling of professionals and farmers through various short and long-term courses. SIMACES Learning has offered 250+ courses in various areas that cover technical skills, forward linkage opportunities, backward linkages, entrepreneurship, and exports. At SIMACES Learning, we run some of the most in-demand employability-related courses in the fields of technology, agriculture, management, and allied subjects.
Launch your career in the field of Data Science and Artificial Intelligence. Join this highly in-demand industry-vetted preparatory Bootcamp on Data Science & AI engineering. Be a part of this tailor-made Bootcamp to accelerate your career towards becoming an industry-certified Data Scientist.
CAMP stands for Content Assignments Masterclass Projects completely contributed by the industry.
How will you benefit
Why SIMACES Learning
It is no secret that the demands of the workplace are changing every day. Whether it’s adapting to a remote or offline setting, building more diverse, and equitable, or finding a new way to enhance productivity, working in a state of constant flux is now accepted and expected. To excel in the new-age corporate setup, the necessity for new recruits to showcase multi-disciplinary skills is a need of the hour.
With the constant evolution of industry requirements, training content, faculty, and infrastructure; that do not meet the expected needs, and hence industries talk about a ‘Lack of Talent.’ This gap in lack of quality training and ever-changing industry requirements directly affects the productivity of recruits and professionals. To solve this problem, we at SIMACES Learning have established an industry-centric training formula called CAMP.
Fundamentals of Artificial Intelligence
Introduction to AI & Nature of Intelligence
Mathematics of Machine Learning
- Linear Algebra
- Multivariate Calculus
Statistics and Probability for Data Science
Python Programming Language
Algorithms and Data Structure
- Graph Theory: Basic Concepts and Algorithms
- Algorithmic Complexity
- Data Structures
Exploratory Data Analysis & Feature Engineering
- Data Exploration And Preprocessing
- Feature Engineering
Introduction to Machine Learning
- Learning from Data
- Introduction to Bayesian Learning
Supervised Machine Learning
- Classification Algorithms
- Dealing with Skewed Class Distribution and Cost-based Classification
- Survival Analysis
- Ensemble Models
- Neural Networks and Introduction to Deep Learning
- Time Series Forecasting
- Network Intrusion detection
- Weather Forecasting
- Image Classification
- Predictive Text Generation
- Customer Lifetime Modelling
- Churn Prediction
- Speech synthesis
- Named Entity Extraction
- Car navigation Diagnosis
Assessment Exam, Project Submission
Tools & Platform
Covered in the Labs
How To Apply
Should have basic knowledge of Python Programming language, AI, ML and Mathematics.
Participants should have invested the mentioned number of hours into the pre-requisites before joining the program. A prior assessment test will conducted to validate the student’s eligibility criteria.