Data Science course in Chandigarh:

Excel the skill of Artificial intelligence through the advanced curriculum of Artificial intelligence course in Chandigarh. Theta Prime Solution is the only Chandigarh institution that provides specialized data science training in Chandigarh based on student subject expertise. Their major courses include:

1. Data science course in Chandigarh for commerce students
2. Data science course in Chandigarh for biotechnology students
3. AI course in Chandigarh for Mechanical students
4. AI course in Chandigarh for Electrical students
5. Data science course in Chandigarh for computer application students

Table of contents

1. What is Data Science
2. Data science syllabus for commerce students
3. Data science syllabus for biology students
4. Data science syllabus for Mechanical Engineering students
5. Data science syllabus for computer application students
6. Top 5 reasons to study data science
7. Conclusion

What is Data Science:

Data science is the application of automatic processes to make decisions and predict future outcomes ( market trends, disease detection) with the help of historical data. In data science machine learning and deep learning algorithms continuously analyze and make decisions based on past year data with minimum or no human intervention.

Data science course Details:

Data science syllabus for commerce students:



This course is specially designed for students with a background of BBA/BCOM/MCOM/MBA/ECONOMICS/ any commerce-related study.

If you have an aspiring profession in the field of AI with commerce and management, then companies like TCS, Wipro, Infosys, and Mastek are hiring talent from this domain.

Topic	Description
Business Intelligence Tool	Power BI, Excel, and Tableau are powerful business analytics tools. These tools are used by industries to get the visual representation of raw data in the form of graphs, charts and maps.
Database management systems	big industries like Amazon, Philips, and JPmorgan store and manage their data with the help of a Database management system.
Automating Business Management	It refers to the process of using technology to automate various business processes.
Business mathematics and statistics	This course would equip students with the mathematical techniques and concepts to solve practical problems in business and commerce.
Python	In this module, you will learn all concepts of Python used in handling data science projects based on finance, accounts and the trading industry.
Data-Driven Business and Machine Learning	In this course, you will learn about the different algorithms of Machine learning for linear and non-linear data. Also, study about Risk Management and how to automate it.
Quantitative Financing	Quantitative finance is the use of mathematical models and extremely large datasets to analyze financial markets.
Algorithmic Trading	In this students will learn about the computer algorithms for executing automatic trading strategies.
Customer Relationship Modelling Using AI	Customer Relationship Modeling (CRM) using AI helps companies better understand customer buying behaviour, preferences, and future needs.

Data Science syllabus for Biology:



The World Health Organization (WHO) has released a new publication regarding artificial intelligence (AI) for health. This publication states that With the rapid progress in analytic techniques – whether machine learning, statistical or logic-based algorithms – AI tools could transform the health sector.

Topic	Description
Python, Database management system	Python is a versatile programming language that is commonly used in combination with a Database Management System to Execute advanced procedures.
Bio-Python	Bio Python is open source Python tool used in Bio Informatics. This tool is used for Big Data Analysis and Research purposes in Bio-labs.
Bio-Statistics	Biostatistics is a branch of statistics that is used to analyze data related to the health and disease of patients.
Feature Engineering	Feature Engineering is an important step in transforming data into a simpler form that machines can understand. It includes concepts like: Cleaning, Encoding, Scaling etc. Scanpy is important for Biology EDA.
Bio-Informatics and Machine Learning	In bioinformatics, the use of machine learning techniques helps in analyzing large-scale data related to biology. It includes concepts like: -Genomic Data Analysis, Disease Diagnosis and Prognosis etc.
Deep Learning & Bio-Medical Imaging	The application of deep learning in bio-medical imaging helps in detecting diseases from machines using images.
R Programming for Advanced Statistics	For those looking to conduct complex statistical analysis R programming language is best for them.

AI Syllabus for Mechanical Engineering:



If you have excellence in the field of AI and Mechanical Engineering, numerous leading companies are hiring talent from this field. Companies like: Accenture, Mahindra & Mahindra Ltd, Wipro, Infosys, Tech Mahindra etc.

Topic	Description
Python, Database Management System	Programming in mechanical engineering involves writing code to automate processes, control machinery, or simulate complex systems, enhancing efficiency and precision in design, manufacturing, and analysis.
Mathematics for AI	Concepts like Linear Algebra, Calculus, Probability and Statistics, Discrete Mathematics etc. help in building AI models
Mechanical Core Concepts and Machine Learning	mechanical engineering integration with machine learning enhances the process of automation.
Digital Twin Technology
Robotics and Automation	Robots are the heart of the manufacturing industry. In this part, we learn how to optimize the robots by studying One Use Case.
Predictive Analysis of Assembly Line For Downtime Reduction	Predictive analysis helps in forecasting equipment failures, inefficiencies, and breakdowns before they happen. It includes concepts like: 1. Time Series Analysis 2. Misalignment and Bearing Faults in Industrial Motors 3. Analyzing the frequency Spectrum of Vibrations using Fast Fourier Transformation

Data science syllabus for computer application:



Topic	Sub-topics
MYSQL (Database Management system)	MYSQL- Basics Constraints (Practical Designing with real time Deployment) Filtering - Advance and reporting Stored Procedure and Triggers PL SQL
Python	Python- Basics Array-type types File handling and Exception handling Functions Object Oriented Programming API- Integrations Interview Preparation of Programming Data Analytics for Python (Numpy, Pandas and Matplotlib)
Machine Learning	Data Preprocessing Feature Engineering using Statistics Supervised Learning Unsupervised learning Finding the best Model
Deep Learning & Gen AI	Neural Networks Image Processing and CNN Time series analysis using Deep Learning Natural Language Processing Generative AI Langchain and Hugging Face Llama 3.0 and others
Cloud Computing	Introduction to AWS EC2 Instances Sagemaker MLops
Big data	Apache Hadoop Apache Spark Mongo DB Kafka Fundamentals Python integration with Big Data Technology
Power BI	Data Connectivity Data Transformation Interactive Dashboards Custom Visuals DAX (Data Analysis Expressions) Real-Time Data Collaboration and Sharing
Capstone Projects	Designing a Crypto Stacking Platform AI Chatbot for Solar Energy Instruments B2B Suppliers Towel Defect Detection in manufacturing Auto Report Generation of Wholesale Marketing of Medical equipments

If you are a data science aspirant, Theta Prime Solutions has the best data science course for you! We provide specialized data science courses based on student subject expertise. Register and gain hands-on experience directly from industry experts via online and offline classes.

Top 5 reasons to study data science

Data Science is in High Demand

According to the Bureau of Labor Statistics (BLS), employment of Data Scientists is projected to grow 36% from 2021 to 2031, much faster than the average for all occupations. Top companies like Netflix, Amazon, Zomato, Uber, etc., achieve great success with the help of Data Scientists.

Data Scientist is the Highest Paying Job

According to the BLS, the median annual wage for Data Scientists was $100,910 in May 2021, which is greater than the median for all other occupations.

Data Science is a Secure Job

LinkedIn states that Data Science is projected to maintain a compound annual growth rate of 57% in the coming years. The rise of AI, ChatGPT, and automation will likely increase the demand for Data Scientists. Data Scientists play an important role in the growth of businesses, which makes their jobs secure.

Data Science Provides Lots of Potential Job Opportunities

According to BuiltIN, studying Data Science can give you access to a diverse range of job opportunities. These job opportunities may include:

1. Data Scientist
2. Data Analyst
3. Data Engineer
4. Data Architect
5. Business Intelligence Analyst
6. Database Administrator
7. Machine Learning Engineer

Data Science Provides Flexibility

Data Scientists are required in various industries. Based on their knowledge and skills, they can work in different sectors. Industries that require Data Scientists include:

1. Healthcare
2. Financial Industry
3. Manufacturing
4. Logistics
5. Retail Industry
6. Telecommunications
7. Automotive Industry

Conclusion

Our mission is to create a Skillful India through a comprehensive Data Science Course. We have built a structured curriculum of data science courses for every professional field that will empower students and boost the skill set of the workforce across the nation.