The Python with Data Science courses held at Xplore IT Corp aims at enabling both novices and professionals to acquire necessary skills that enhance proper decision-making concerning a data-driven world. Starting with the basic principles of Python programming, it extends to advanced topics such as machine learning, data analysis, and applications of artificial intelligence through the Python with Data Science Course. Thorough understanding of Python powers libraries on their application in data science allows you to encounter hands-on, real-world projects from industry experts.
It will not only prepare you for a data scavenger hunt but also render you job-ready through practice enhancement. Whether you want a career switch, just want to improve skill sets, or are preparing for the future, the Python with Data Science syllabi are exactly what you need. Come along and learn all about Python with Data Science, learn its practicality toward a professional milestone in one of the fastest-growing professions.
Key Features
What I Will Learn in This Course
- Python programming basics.
- Data structures and algorithms in Python.
- Data manipulation using Pandas and NumPy.
- Data visualization with Matplotlib and Seaborn.
- Statistical analysis for data insights.
- Introduction to machine learning concepts.
- Supervised learning (Regression and Classification)
Benefits of Python with Data Science Course
Top Skills in Demand
Python programming and Datascience give the sought after skills today for data professionals.
Detailed Course
Practical modules on Python, Data analysis and Visualization, which helps a student to work on a real-world project after carrying out research in Machine learning.
Industry Experts
Get trained by seasoned professionals on real-world data with practical assignments
Career Growth
Open doors to become a highly-paid professional in terms of designations like Data Analyst, Data Scientist, AI, etc.
Practical Learning
Take this opportunity to work on live projects, apply your knowledge and get hands-on experience, as well as build up a strong portfolio.
Certification
Acquire internationally recognized certification to let you grow with your career in datascience.
Syllabus of Python Course
- C & C++ Programming
- HTML, CSS, JavaScript, Bootstrap
- What can Python do?
- Why Python
- Python Syntax in comparison to other Programming Languages
- Python Installation
- Compilation and Interpretation
- Path Configuration
- Python Data Structures Data & Types
- String Operations in Python
- Simple Input & Output
- Operators in Python
- Decision Making
- IF-IF ELSE
- Else IF NESTED
- Looping
- FOR-WHILE-NESTED LOOPs
- Create your Function
- User-defined and System defined functions
- Variable Argument
- Scope of Function
- Lambda Function & Map
- Exercise with Functions
- Errors
- Exception handling with try
- Handling Multiple Exceptions
- Writing your Exception
- New Style Classes
- Creating Classes
- Constructor
- Instance Methods
- Inheritance
- Polymorphism
- Abstraction
- Encapsulation
- Exception Classes
- List Comprehensions
- Nested List Comprehensions
- Dictionary Comprehensions
- Tuples
- Iterators
- Generators
- With Statement
- Data Comprehension
- Namedtuple()
- Deque
- Chainmap
- Counter
- Dict and Types
- Introduction
- Components and Events
- An Example GUI
- The root Component
- Widgets
- Buttons
- Introduction
- Hello World
- Major Classes
- Using Qt Designer
- Signals & Slots
- Layout Management
- Basic Widgets
- Drag & Drop
- Database Handling
- Introduction DB Connection
- Creating DB Table
- INSERT, READ, UPDATE, DELETE Operations
- COMMIT & ROLLBACK Operation
- Handling Errors
- GUI With Sqlite3
- Desktop Application
- Random
- Turtle
- File Input & Output
- Time & Date etc.
- Split
- Working with Special Characters, Date, Emails
- Quantifiers
- Match and Find all
- Characters sequence and substitute
- Search Method
- Set
- Introduction
- Socket - Introduction
- Clients and Servers
- The Client Program
- The Server Program
- Class and Threads
- Multi-Threading
- Threads Life Cycle
- Use Cases
- Introduction
- Learning Programming
- Core Language
- Text editors and IDEs
- Sublime Text
- PyCharm
- Jupyter Notebook
- Environment Configuration
- Virtual Environments
KIWI-Building Mobile App
Python Web Development With Django
- Django Installation
- Creating Project
- Usage of Project in Depth
- Creating an Application
- Creating Hello World Page
- Database and Views
- Static Files and Forms
- Adding Models
- Django Model Classes
- Manage. py
- Database Commands
- The Admin Interface
- The model API
- Save and Delete
- Database Relations
- Adding HTML form
- Using Django Forms
- Fields Options
- Named Groups
- Named Groups in URL's
- API and Security
Django Rest Frame work
- RDBMS
- MySQL
- Sqlite3
- Introduction
- Environment
- Routing
- Variable rule
- URL Building
- SQL Alchemy
- Set up a Python environment and install Django
- Create a Django Project
- Configure your Django application for Elastic Beanstalk
- Deploy your site with the EB CLI
- Update your Application
Equipped with years of professional experience and academic qualification in the field of education, our Data Science Course trainers at Xplore IT Corp provide students with good hands-on training to impart knowledge on all data science-related Python concepts, machine learning algorithms, data visualization tools, and statistical modeling. Every single section of the Python with Data Science Course includes projects for hands-on exposure to augment the learning experience and equip you with the desired skills that are sought after by companies. Mentors by profession, our trainers take you through jargon with ease, rendering your learning journey smooth and enjoyable. Sign up today for a Python with Data Science course, where experts in learning and growth will learn with you to succeed. Personalized attention and student-friendly teaching techniques make this Python with Data Science course your gateway to a rewarding future in data science.
Learn from Industry Experts
Our courses are taught by professionals with real-world experience.
Comprehensive Learning
Gain in-depth knowledge through our well-structured curriculum.
Hands-on work
Learn skills by doing real-world projects.
Flexible Batches
Choose from weekday or weekend batches for desired Course.
Certification
After finishing the course, you will obtain a recognized certificate.
Job Placement Support
Our students receive job placement opportunities after completing the course.
Continuous Mentorship
Our students of the course will avail ongoing mentor support.
Flexible Payment Plans
Available payment options enable any individual to afford the course. This makes it affordable and accessible to all.
Job prospects after graduating from the course
Python Developer: Create complex and scalable applications with Python.
Data Analyst: Data Analysis to Develop Insights for Business Decision-making.
Machine Learning Engineer:A machine learning engineer will develop and deploy machine learning-based models using Python.
Web developer: Develop and maintain websites using frameworks like Django and Flask.
Automation Engineer: Automate tasks and processes to increase efficiency in organizations.
We offer a placement course in Python, ensuring you have a clear path to employment and continuous support and guidance from our dedicated placement team.
Java
Master Java to build robust, versatile, and platform-independent applications.
AWS
Unleash the power of AWS to revolutionize scalability and redefine innovation.
Data analytics
Utilize data analytics to reveal insights and power smarter business decisions
Frequently Asked Questions
The course is 3–5 months, flexible for students and working professionals.
No, we start from the basics of Python, so it is perfect for beginners.
Absolutely; a certificate completion will be received by the learner from Xplore IT Corp, and some guide towards additional certifications.
Of course, we have classes online and offline as well.
The graduates are also offered job opportunities that come under data analyst, data scientist, machine learning engineer, and AI specialist.
Reach Us Now!
