Data Science
Course - Data Science
Data Science
- 10 Lessons
- 6 Studenst
Description:
Advanced Data Science course, a comprehensive journey into the realm of data-driven decision making and analytical insights.
This course is designed for individuals aspiring to deepen their expertise in data analysis, statistical modeling, and predictive analytics. Whether you’re an experienced data professional or new to the field, this course will equip you with advanced techniques, industry best practices, and a thorough understanding of the principles that drive successful data science solutions.
Students will learn state-of-the-art tools, algorithms, and methodologies, enabling them to work with large datasets, perform advanced analytics, and generate actionable insights optimized for various industries and applications.
Course Details:
Course Price:
60K
Instructor
Kamal & Lavanya
Lesson Duration
6 Months
Lessons
10
Places for Students
6
Language:
English
Certifications
Digital, Physical
Overview:
- Introduction to Data Science
- Python for Data Science
- Data Wrangling and Preprocessing
- Exploratory Data Analysis (EDA)
- Statistics and Probability
- Machine Learning Algorithms
- Data Visualization
- Predictive Modeling
- Capstone Project
Benefits:
- Hands-on Exercises
- Industry-Relevant Case Studies
- Python Data Science Libraries
- Statistical and Analytical Foundations
FAQ
Have questions about our Data Science course? Below are answers to the most common queries about the curriculum, learning outcomes, and what you can expect from this program. If you need more details, feel free to reach out!
You’ll gain a deep understanding of data analysis, machine learning, and statistical modeling. You’ll also master Python programming, data visualization techniques, and key data science libraries like Pandas, NumPy, and Matplotlib, preparing you for real-world data science challenges.
Yes! This course is designed for both beginners and professionals. It starts with foundational concepts, like Python basics and statistics, and gradually moves into advanced topics, such as machine learning and predictive modeling. By the end of the course, you’ll be equipped with the skills needed to thrive in the field.
