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Indian Cyber Security Solutions
Data Science Course using Python
Data Science Course using Python is a comprehensive program designed to provide students the knowledge and abilities they need to be successful in the data science field. With the help of ICSS's extra-mile placement aid programs you will launch a data science career. With ICSS certification, you have access to a wide range of work chances in the rapidly growing field of data science. Whether you're a working professional or a student, ICSS offers flexible course scheduling.
Make an investment in your data science education since it is an investment in your future. Expert Guidance, Hands-On Learning, Global Recognition, Career Boost, Networking Opportunities, and Flexible Scheduling are what distinguish us from the competition.
Course Duration: 3 Months
EMI: ₹ 4,666/- Per Month
Enroll for
Classroom or Online Live Class
UNIVERSITY TRAINING PARTNER'S
Data Science Course Overview
A group of expert data scientists, machine learning experts, and business leaders particularly created our data science course. The substantial knowledge and practical expertise of our industry specialists are used to create curriculum that is both practical and relevant to the most recent business trends. The fundamentals of data science, machine learning and artificial intelligence, data visualization, big data and tools, real-world projects, ethics and security, job placement assistance, and certification are all part of our data science curriculum.
Eligibility: Basic Knowledge in Python
Key Features
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Data Science using Python - Course Module
- Overview of Python's role in Data Science
- Setting up the Python environment
- Basics of Python programming
- Introduction to Pandas library
- Loading and exploring datasets
- Data cleaning and transformation with Pandas
- Introduction to data visualization
- Creating static plots with Matplotlib
- Advanced data visualization with Seaborn
- Interactive visualization with Plotly
- Building interactive dashboards
- Geospatial data visualization
- Strategies for exploring data
- Feature engineering techniques
- EDA case studies
- Introduction to time series data
- Time series visualization and decomposition
- Forecasting techniques in Python
- Working on a real-world Data Science project
- Applying Python skills learned throughout the course
- Presentation and peer review of projects
- Preparing for a career in Data Science using Python
- Resume building and interview preparation
- Networking and job searching strategies
- Review of key Python concepts and skills learned throughout the course
- Open Q&A session for students to ask questions and seek clarification
- A comprehensive final exam to assess students' understanding of Python for Data Science
- Certificate distribution for successful completion of the course
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Get ready for what's coming next. Learn to be a Data Science expert.
Learn by doing Data Science with ICSS, your trusted partner on the Data Science journey.
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