Best Data Science Training in Mohali and Chandigarh
Complete Data Science Training in Python, Machine & Deep Learning, Advanced Statistics in Python, and Mathematics
This FUTURE FINDERS Data Science course includes unique hackathons, masterclasses, webinars, and Ask-Me-Anything sessions. The online training will give you hands-on experience with technologies like R, Python, Machine Learning, Tableau, Hadoop, and Spark. Improve your knowledge with this Data Science course and live interaction with other practitioners and Machine Learning Engineers.
To advance your career in data science, become a data scientist by delving deeply into the complexities of data interpretation, mastering technologies like machine learning, and developing strong programming abilities.
Syllabus for Data Science
Defining Data Science
- Introduction of Python
- Installing Python IDES – Python IDLE and Anaconda
- Writing Your First Python Program
- Data-types in Python
- Variables in Python – Declaration and Use
- Typecasting in Python
- Operators in Python – Assignment, Logical, Arithmetic etc.
- Taking User Input (Console)
- Conditional Statements – If else and Nested If else and elif
- Python Collections (Arrays) – List, Tuple, Sets and Dictionary
- Loops in Python – For Loop, While Loop & Nested Loops
- String Manipulation – Basic Operations, Slicing & Functions and Methods
- User Defined Functions – Defining, Calling, Types of Functions, Arguments
- Lambda Function
- Importing Modules – Math Module
- Basics of Object Oriented Programming
- Creating Class and Object
- Constructors in Python – Parameterized and Non-parameterized
- Inheritance in Python
- In built class methods and attributes
- Multi-Level and Multiple Inheritance
- Method Overriding and Data Abstraction
- Encapsulation and Polymorphism
- TensorFlow
- SciPy
- NumPy
- Pandas
- Matplotlib
- Keras
- Scikit-learn
- PyTorch
- Scrapy
- BeautifulSoup
Databases and SQL for Data Science with Python
- SQL Introduction
- Characteristics of SQL
- Advantage of SQL
- SQl Data Type
- SQL Command
- SQL Operator
- SQL Table
- SQL SELECT Statement
- SQL INSERT Statement
- SQL Update Statement
- SQL DELETE Statement
- SQL View
- SQL Index
- SQL Sub Queries
- SQL Clauses
- SQL Aggregate Function
- SQL JOIN
- Defining Data Science
- What is Data Science?
- Fundamentals of Data Science
- The Many Paths to Data Science
- Advice for New Data Scientists
- Data Science: The Sexiest Job in the 21st Century
- Old problems, new problems, Data Science solutions
- Data Science Topics and Algorithms
- What is the cloud?
- What Makes Someone a Data Scientist?
- Foundations of Big Data
- How Big Data is Driving Digital Transformation
- What is Hadoop?
- Data Science Skills & Big Data
- Data Scientists at New York University
- Data Mining
- What’s the difference?
- Neural Networks and Deep Learning
- Applications of Machine Learning
- Regression
- Applications of Data Science
- How Data Science is Saving Lives
- How Should Companies Get Started in Data Science?
- Applications of Data Science
- The Final Deliverable
- How Can Someone Become a Data Scientist?
- Recruiting for Data Science
- Careers in Data Science
- High School Students and Data Science Careers
- Categories of Data Science Tools
- Open Source Tools for Data Science
- Commercial Tools for Data Science
- Cloud Based Tools for Data Science
- Libraries for Data Science
- Application Programming Interfaces (API)
- Data Sets – Powering Data Science
- Sharing Enterprise Data – Data Asset eXchange
- Machine Learning Models
- The Model Asset Exchange
- Business Understanding
- Analytic Approach
- Data Requirements
- Data Collection
- Lab: From Problem to Approach
- Lab: From Requirement to Collection
- Data Understanding
- Data Preparation
- Modeling
- Evaluation
- Lab: From Understanding to Preparation
- Lab: From Modeling to Evaluation
- Deployment
- Feedback
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Select a Courses to start a quote. Or call us at +91 98559-08009
| Data Science Course Fee and Duration | |||
|---|---|---|---|
| Track | Regular Track | Weekend Track | Fast Track |
| Course Duration | 150 - 180 days | 28 Weekends | 90- 120 days |
| Hours | 2 hours a day | 3 hours a day | 6+ hours a day |
| Training Mode | Live Classroom | Live Classroom | Live Classroom |
