Data Science with Python Certification Course
4.4 /5- Offered bySimplilearn
- Private Institute
- Estd. 2010
Data Science with Python Certification Course at Simplilearn Overview
Duration | 68 hours |
Total fee | ₹37,050 |
Mode of learning | Online |
Credential | Certificate |
Data Science with Python Certification Course at Simplilearn Highlights
- Earn a certificate of completion from Simplilearn after successful completion
- Lifetime access to high-quality self-paced eLearning content curated by industry experts
- 4 hands-on projects to perfect the skills learnt
- 3 simulation test papers for self-assessment
- Lab access to practice live during sessions
- The demand for Data Science professionals will grow with an estimated 137,630 job openings in India by 2025
Data Science with Python Certification Course at Simplilearn Course details
- For analytics professionals willing to work with Python, Software, and IT professionals interested in the field of analytics
- Data wrangling
- Data exploration
- Data visualization
- Mathematical computing
- Web scraping
- Hypothesis building
- The course provides a complete overview of Python's Data Analytics tools and techniques
- Data Science is an evolving field and Python has become a required skill for 46-percent of jobs in Data Science
- The Python Data Science course teaches participants to master the concepts of Python programming
- Through this Data Science with Python certification training, students will learn Data Analysis, Machine Learning, Data Visualization, Web Scraping, & NLP
- Upon course completion, participants will master the essential tools of Data Science with Python
Data Science with Python Certification Course at Simplilearn Curriculum
Lesson 00 - Course Overview
0.001 Course Overview
Lesson 01 - Data Science Overview
1.001 Introduction to Data Science
1.002 Different Sectors Using Data Science
1.003 Purpose and Components of Python
1.4 Quiz
1.005 Key Takeaways
Lesson 02 - Data Analytics Overview
2.001 Data Analytics Process
2.2 Knowledge Check
2.3 Exploratory Data Analysis(EDA)
2.4 EDA-Quantitative Technique
2.005 EDA - Graphical Technique
2.006 Data Analytics Conclusion or Predictions
2.007 Data Analytics Communication
2.8 Data Types for Plotting
2.009 Data Types and Plotting
2.11 Quiz
2.012 Key Takeaways
2.10 Knowledge Check
Lesson 03 - Statistical Analysis and Business Applications
3.001 Introduction to Statistics
3.2 Statistical and Non-statistical Analysis
3.003 Major Categories of Statistics
3.4 Statistical Analysis Considerations
3.005 Population and Sample
3.6 Statistical Analysis Process
Lesson 04 - Python Environment Setup and Essentials
4.001 Anaconda
4.2 Installation of Anaconda Python Distribution (contd.)
4.003 Data Types with Python
4.004 Basic Operators and Functions
4.5 Quiz
4.006 Key Takeaways
Lesson 05 - Mathematical Computing with Python (NumPy)
5.001 Introduction to Numpy
5.2 Activity-Sequence it Right
5.003 Demo 01-Creating and Printing an ndarray
5.4 Knowledge Check
5.5 Class and Attributes of ndarray
6.001 Introduction to SciPy
6.002 SciPy Sub Package - Integration and Optimization
6.3 Knowledge Check
6.4 SciPy sub package
6.005 Demo - Calculate Eigenvalues and Eigenvector
6.6 Knowledge Check
Data Science with Python Certification Course at Simplilearn Entry Requirements
- Pre-requisites : To best understand the Python Data Science course, it is recommended that you begin with the courses including, Introduction to Data Science in Python, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science, these courses are offered as free companions with this training.
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