Course Highlights
- Holistic Learning Experience
- Practical, Hands-On Training
- Mastery of Industry-Standard Tools
- Real-World Problem Solving
- Portfolio-Building Projects
- Exploration of Advanced Techniques
- Structured and Adaptive Learning Path
- Skills for Career Acceleration
- Application-Focused Curriculum
- Market-Ready Expertise
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Skill Type
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Course Duration
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Domain
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GOI Incentive applicable
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Course Category
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Nasscom Assessment
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Placement Assistance
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Certificate Earned
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Content Alignment Type
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NOS Details
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Mode of Delivery
Course Details
What will you learn in Data Science & Analytics?
- Master end to end basic as well as advanced Data Science.
- Use pragmatic knowledge to real-world projects using Selenium and Beautiful Soup.
- Learn principles behind Data Science.
- Understand how to fetch useful insights from data for good business decisions.
Why you should take Data Science & Analytics?
This course is designed to provide you with a comprehensive learning experience, taking you from the foundational concepts of data science to advanced, industry-relevant skills. Here's why it stands out:
- Strong Foundation: Begin your journey by mastering the basics of data science, including working with files and SQL—critical skills for any data scientist.
- Advanced Insights: Progress to advanced topics such as SQLite, APIs, web scraping, and Beautiful Soup. These concepts empower you to handle complex data challenges and build robust models.
- Hands-On Experience: Gain practical experience by applying your knowledge to real-life scenarios. Build projects using Selenium and other tools to solidify your understanding and showcase your skills.
- Industry-Relevant Tools: Learn tools like Selenium, which are widely used in the industry, giving you an edge in the competitive data science field.
- Practical Applications: Explore real-world applications of data science and AI, ensuring that your learning is not just theoretical but highly applicable in professional settings.
- Career Growth: By covering both foundational and advanced topics, this course prepares you for high-paying roles in data science and AI, with skills that align with industry standards.
- This course is the perfect choice for anyone looking to build a career in data science, enhance their professional portfolio, or gain a competitive edge in the job market.
Who should take Data Science & Analytics?
This course is suitable for anyone interested in learning data science, machine learning and natural language processing. Irrespective of the fact that you're a student, an individual eyeing for upskilling, or someone looking to switch careers, this course will provide you the holistic understanding of Data Science.
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Skills You Will Learn
- Tableau
- Jupyter
- Numpy
- Pandas
- Tensorflow
- Anaconda
- Python
- JSON
- API
- Web Scraping
- Selenium
- BeautifulSoup
- Seaborn
- ScikitLearn
- Keras
- MySQL
- Matplotlib
- PowerBI
- Kaggle
- Google Collaboratory
- Excel
- Automation
- PostMan