Courses
Curriculum
- Sl. No.
- Chapter
- 1
- Introduction to Data Science using Python
- 2
- Python basics
- 3-
- Maths for DS-Statistics
- 4-
- OOPs in Python
- 5-
- NumPy Library In python
- 6-
- Scipy for scientific computing
- 7-
- Data manipulation
- 8-
- Data visualization with Matplotlib
- 9-
- Machine Learning using Python
- 10-
- Supervised learning
- 11-
- Unsupervised Learning
- 12-
- Dimensionality Reduction
- 13-
- Time Series Forecasting
- 14-
- Project
Contact Us
- Public Batches Phone No.: +1-844-889-4054 Email.: support@careerera.com
- Private Batches Phone No.: +1-844-889-4054 Email: Sandeep@careerera.com
- Corporate Batches Phone No.: +1-844-889-4054 Email: aditya@careerera.com
Data Science with Python, this Course and batch also available in other locations View
- Busan
- Cheju
- Chollabuk
- Chollanam
- Chungbuk
- Chungcheongbuk
- Chungcheongnam
- Chungnam
- Daegu
- Gangwon-do
- Goyang-si
- gwangyoksi
- Gyeonggi-do
- Gyeongsang
- Gyeongsangnam-do
- Incheon
- Jeju-Si
- Jeonbuk
- Kangweon
- Kwangju
- Kyeonggi
- Kyeongsangbuk
- Kyeongsangnam
- Kyonggi-do
- Kyungbuk-Do
- Kyunggi-do
- Kyunggi-Do
- Pusan
- Seoul
- Sudogwon
- Taegu
- Taejeon
- Taejon-gwangyoksi
- Ulsan
- Wonju