Certified Data Science and Analyst Program | CDSAP
Created By: Training Head
What you'll learn
- Foundations of Data Science
- Data Manipulation and Cleaning
- Exploratory Data Analysis
- Statistical Analysis with Python
- Machine Learning Fundamentals
- Supervised Learning Algorithms
- Unsupervised Learning Algorithms
- Advanced Topics
- Capstone Project
Requirements
Prerequisites: Basic Excel, SQL, and Python skills. No prior data science knowledge required. Ideal for beginners seeking a foundation in data science and machine learning.
Course Description
Embark on a transformative journey into the realm of data with our 'Introduction to Data Science (ML & DL)' course. Discover the foundations of data science, delve into Python programming for data manipulation, and explore machine learning fundamentals. Gain proficiency in advanced topics such as feature engineering, deep learning, and model deployment. Cap off your learning with a hands-on Capstone Project, applying your skills to real-world challenges. Elevate your career opportunities as a Machine Learning Engineer, Data Scientist, or Research Scientist. No prior knowledge needed. Join us for a comprehensive learning experience and unlock the potential of data analysis!
Course Content
Foundations of Data Science (2 weeks)
1 lectures, 01:00:00 hrs
ds
Data Manipulation and Cleaning (3 weeks)
1 lectures, 01:00:00 hrs
Data Science
Exploratory Data Analysis (2 weeks)
1 lectures, 01:00:00 hrs
Data Science - 1
Machine Learning Fundamentals (4 weeks)
1 lectures, 01:00:00 hrs
Data Science - 2
Advanced Topics (3 weeks)
1 lectures, 01:00:00 hrs
Data Science - 3
Capstone Project (4 weeks)
1 lectures, 01:00:00 hrs
Data Science - 4
Introduction to Data Analysis (2 weeks)
1 lectures, 01:00:00 hrs
Data Science - 5
Data Visualization (3 weeks)
1 lectures, 01:00:00 hrs
Data Science - 6
Data Cleaning and Wrangling (2 weeks)
1 lectures, 01:00:00 hrs
Data Science - 7
Statistical Analysis (4 weeks)
1 lectures, 01:00:00 hrs
Data Science - 8
Advanced Data Analysis Techniques (3 weeks)
1 lectures, 01:00:00 hrs
Data Science - 9
Capstone Data Analysis Project (4 weeks)
1 lectures, 01:00:00 hrs
Data Science - 10
The Advanced Topics segment was intriguing. Feature engineering and deep learning were challenging but rewarding.
The Capstone Data Analysis Project was a perfect way to culminate the course. It allowed me to showcase my skills and build a portfolio for future opportunities.
Advanced Data Analysis Techniques were insightful. More real-world examples would have made it even better.
Statistical Analysis was challenging but rewarding. The instructors' emphasis on practical applications helped me grasp the concepts better.
The section on Data Cleaning and Wrangling provided practical skills that I immediately applied to my own datasets.
Data Visualization was well-taught. The visualizations created during the course were both aesthetically pleasing and informative.
Introduction to Data Analysis was a good refresher. It laid a solid groundwork for the more complex topics that followed.
The Capstone Project was the highlight for me. Applying everything learned in a real-world scenario was both exciting and educational.
Unsupervised Learning Algorithms were explained with clarity. The practical applications and case studies made the concepts more tangible.
The Supervised Learning Algorithms section felt a bit rushed. More in-depth coverage and additional exercises could have enhanced the learning experience.
The Machine Learning Fundamentals module was extensive, covering various algorithms. The practical examples and group projects were beneficial.
Statistical Analysis with Python was comprehensive. The real-world examples used made it easier to apply statistical concepts to actual problems.
The Exploratory Data Analysis section was my favorite. It really helped me gain confidence in working with diverse datasets, and the instructors were very supportive.
Data Manipulation and Cleaning segment was thorough. The hands-on exercises were challenging but immensely helpful in improving my Python skills.
The Foundations of Data Science module provided a clear and solid introduction. The instructors were engaging, making complex concepts easy to understand.
₹120,000.00₹160,000.00
This Course Includes:
Duration : 9 Months
Letures : 108
Offline & Online Mode