Data Science Complete Guide: Learn Analytics, Machine Learning & More
Unlock the power of data with our in-depth guide to data science. Discover how to analyze, visualize, and extract meaningful insights using Python, R, and advanced machine learning techniques.
By Conquer 4.6 ★★★★★ 850 students
What you'll learn
- Develop expertise in interpreting and visualizing complex data.
- Understand core algorithms and apply them to real-world challenges.
- Gain hands-on experience with Python, R, and key data libraries.
- Explore tools for managing large datasets and integrating AI solutions.
About Course
Dive into the world of data science with this all-in-one course. Learn how to analyze data effectively, build machine learning models, and make strategic, data-driven decisions. Whether you’re starting fresh or expanding your expertise, this course covers essential topics—from data visualization to advanced analytics and big data technologies.
This course includes:
- 24+ hours on-demand video
- 24 Article
- Access on mobile and TV
- Closed captions
- Audio description inexisting video
- Certificate of completion
Course Curriculum
1. Introduction to Data Science
Gain a clear understanding of data science, its real-world applications, and the exciting career paths it offers.
2. Data Collection and Cleaning
Discover effective techniques for collecting raw data and refining it for analysis by addressing missing values and inconsistencies.
3. Data Analysis and Visualization
The course will cover the fundamentals of web development, including an introduction to JavaScript, ES6, its features, and control statements, offering a comprehensive understanding of programming concepts.
4. Machine Learning Fundamentals
Explore essential machine learning algorithms and their practical applications for solving real-world challenges.
5. Programming for Data Science
Build expertise in Python and R, leveraging essential data-focused libraries and frameworks for effective analysis.
6. Big Data and Cloud Tools
Learn how to manage large datasets efficiently and leverage cloud platforms like AWS and Google Cloud for scalable data processing.
7. Capstone Project
Put your skills to the test with a hands-on project, demonstrating expertise in data collection, analysis, and machine learning modeling.
Material Includes
- Comprehensive Python for Data Science - Gain in-depth training in Python programming, focusing on data analysis, visualization, and machine learning.
- Hands-on Data Manipulation - Work with libraries like Pandas and NumPy through practical exercises to clean, process, and analyze datasets efficiently.
- Machine Learning Fundamentals - Explore supervised and unsupervised learning with Scikit-learn, applying algorithms to real-world scenarios.
- Data Visualization Techniques - Master Matplotlib, Seaborn, and Tableau to create insightful visualizations and interactive dashboards.
- Capstone Project - Apply your knowledge in a full-scale project, covering data cleaning, analysis, and predictive modeling for real-world experience.
Who Should Enroll?
- Beginners – Build a strong foundation in data science from scratch.
- Professionals – Upgrade your skills and stay ahead of industry trends.
- Business Owners – Leverage data-driven insights to grow your business.
- Students – Prepare for a thriving career in data science and analytics.
- Enthusiasts – Explore data science concepts and gain hands-on experience.
₹5500 ₹14000 Discount 60% off
⏰ 3 days left at this price!
Benifits Obtained:
- Webinar Link
- Training Evaluation Test
- Complete Certification
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Self Learning
- Lifetime Access to Course Materials
- Pre-Recorded Video Lectures by Industry Experts
- Downloadable Resources & Study Materials
- Quizzes & Assignments for Self-Evaluation
- Certificate of Completion
Expert Led learning
- Lifetime Access to Course Materials
- Pre-Recorded Video Lectures by Industry Experts
- Downloadable Resources & Study Materials
- Quizzes & Assignments for Self-Evaluation
- Certificate of Completion
- Live Sessions with Industry Experts
- Doubt-Clearing Sessions
- Hands-On Projects & Case Studies
- Discussion Forums & Peer Networking
- Industry-Relevant Practical Assignments
Advanced
- Includes: Digicours Course
- Duration: 6 Months
- Meet Your Coach
- Branding Materials