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Data Science with Python Certification Training Course
Master the craft of data analytics machine learning, web scraping, Data visualization, and natural language processing with the Python language
Online
12 Days
₹ 37,050
Quick facts
particular | details | ||
---|---|---|---|
Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekdays
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Course overview
The Data Science with Python Certification Training Course has been developed to give candidates an in-depth understanding of the various Data Science techniques that can be performed using Python. The Data Science course uses real-life projects and case studies to impart learning.
The candidates can establish mastery in data science and analytics techniques using Python by enrolling in this Data Science with Python Certification Training Course by Simplilearn. Python has become a required and an important skill set for many data science positions in the industry, kick start your career with this interactive, hands-on, Data Science with Python Certification Training Course
Moreover, the Data Science with Python Certification Training Course online provides a comprehensive knowledge of the Python language and Python packages. You will be able to learn the various types of applied functions, gain an understanding of the data structure in Python, and perform data visualizations using the various libraries.
Once candidates complete the Data Science with Python Certification Training Course successfully, they will receive an industry-recognised certificate which has lifelong validity.
The highlights
- 68 hours of blended learning
- 24 hours of self-paced, online learning
- Interactive learning
- Jupyter notebooks integrated labs
- Dedicated mentoring sessions from industry experts
- 4 industry-based course-end projects
Program offerings
- Blended learning
- Corporate training
- Interactive sessions
- Course end projects
- Self-paced learning
- Jupyter notebooks integrated labs
Course and certificate fees
Fees information
Data Science with Python Course Fee Details
Training Options | Fee |
Self-Paced Learning | Rs. 29,640 + Rs. 4,248 (CGST + SGST) = Rs. 33,888 |
Blended Learning | Rs. 37,050 + Rs. 4,446 (CGST + SGST) = Rs. 41,496 |
Corporate Training | Available |
certificate availability
certificate providing authority
Eligibility criteria
Certification Qualifying Detail :
In order to get the certificate of completion, candidates must meet the following requirements:
For Online Classroom:
- Must have attended one complete batch of Data Science Certification with R programming training
- Must have completed 1 project
For Online Self-Learning:
- Must have completed at least 85% of the course.
- MUst have completed 1 project
What you will learn
- Gain in-depth knowledge of the many techniques that can be applied to the Data at hand
- Get equipped with the means to design beautiful charts and graphs using Python’s built-in Data visualization libraries like Seaborn and Matplotlib
- Learn to excel at Python which makes machine learning, deep learning, and predictive analytics a piece of cake
- Work with NumPy and SciPy, Python’s mathematical computing libraries, which host a wide variety of mathematical and statistical tools
- Use Scikit-learn to build models and realise Machine learning algorithms and techniques such as K-NN, dimensionality reduction, linear regression, logistic regression, clustering, and pipeline.
- Use Pandas, Python’s foremost Data Manipulation tool to manipulate seemingly gibberish data into something legible and presentable
Who it is for
Candidates from all levels of experience can enrol in the course. Some common profiles include:
- Analytics Professionals:
- Software Developers:
- IT Professionals:
- Students Pursuing UG/PG Courses:
Admission details
To get admission into Data Science with Python certification course, make an online payment using following options:
- Visa Credit or Debit Card
- MasterCard
- American Express
- Diner’s Club
- PayPal
Once payment is received, you will receive a payment receipt. You can access information via email.
Filling the form
step 1 - Visit the https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training
Step 2 - Click on Enroll now button
Step 3 - You will redirect to a new page
Step 4 - If applicants have a coupon then they need to apply this or click on the Proceed button.
Step 5 - Fill all the details such as name, email, and contact number, and click on proceed
Step 6 - At last pay the fee and save the receipt for future reference.
The syllabus
Lesson 0: Course Overview
Lesson 1: Data Science Overview
- Introduction to Data Science
- Different Sectors Using Data Science
- Purpose and Components of Python
- Quiz
- Key Takeaways
Lesson 2: Data Analytics Overview
- Data Analytics Process
- Knowledge Check
- EDA-Quantitative Technique
- Exploratory Data Analysis(EDA)
- EDA - Graphical Technique
- Data Analytics Conclusion or Predictions
- Data Analytics Communication
- Data Types for Plotting
- Data Types and Plotting
- Quiz
- Key Takeaways
- Knowledge Check
Lesson 3: Statistical Analysis and Business Applications
- Introduction to Statistics
- Major Categories of Statistics
- Statistical and Non-statistical Analysis
- Statistical Analysis Considerations
- Population and Sample
- Statistical Analysis Process
- Data Distribution
- Dispersion
- Knowledge Check
- Histogram
- Knowledge Check
- Testing
- Knowledge Check
- Correlation and Inferential Statistics
- Quiz
- Key Takeaways
Lesson 4: Python Environment Setup and Essentials
- Anaconda
- Installation of Anaconda Python Distribution (contd.)
- Data Types with Python
- Basic Operators and Functions
- Quiz
- Key Takeaways
Lesson 5: Mathematical Computing with Python (NumPy)
- Introduction to NumPy
- Activity-Sequence it Right
- Demo 01-Creating and Printing an ndarray
- Knowledge Check
- Class and Attributes of ndarray
- Basic Operations
- Activity-Slice It
- Copy and Views
- Mathematical Functions of NumPy
- Analyse GDP of Countries
- Assignment 01 Demo
- Analyse London Olympics Dataset
- Assignment 02 Demo
- Quiz
- Key Takeaways
Lesson 6: Scientific computing with Python (SciPy)
- Introduction to SciPy
- SciPy Sub Package - Integration and Optimization
- Knowledge Check
- SciPy sub package
- Demo - Calculate Eigenvalues and Eigenvector
- Knowledge Check
- SciPy Sub Package - Statistics, Weave and IO
- Solving Linear Algebra problem using SciPy
- Assignment 01 Demo
- Perform CDF and PDF using Scipy
- Assignment 02 Demo
- Quiz
- Key Takeaways
- Natural Language Processing with Scikit Learn
Lesson 7: Data Manipulation with Pandas
- Introduction to Pandas
- Knowledge Check
- Understanding DataFrame
- View and Select Data Demo
- Missing Values
- Data Operations
- Knowledge Check
- File Read and Write Support
- Knowledge Check-Sequence it Right
- Pandas Sql Operation
- Analyse the Federal Aviation Authority Dataset using Pandas
- Assignment 01 Demo
- Analyse NewYork city fire department Dataset
- Assignment 02 Demo
- Quiz
- Key Takeaways
Lesson 8: Machine Learning with Scikit–Learn
- Machine Learning Approach
- Steps One and Two
- Steps Three and Four
- How it Works
- Steps Five and Six
- Supervised Learning Model Considerations
- ScikitLearn
- Supervised Learning Models - Linear Regression
- Supervised Learning Models - Logistic Regression
- Unsupervised Learning Models
- Pipeline
- Model Persistence and Evaluation
- Knowledge Check
- Analysing Ad Budgets for different media channels
- Assignment One
- Assignment Two
- Building a model to predict Diabetes
- Knowledge Check
- 8.021 Key Takeaways
Lesson 9: Natural Language Processing with Scikit Learn
- NLP Overview
- NLP Applications
- Knowledge Check
- Scikit Learn-Model Training and Grid Search
- NLP Libraries-Scikit
- Extraction Considerations
- Analysing Spam Collection Data
- Demo Assignment 01
- Sentiment Analysis using NLP
- Demo Assignment 02
- Quiz
- Key Takeaway
Lesson 10: Data Visualization in Python using Matplotlib
- Introduction to Data Visualization
- Knowledge Check
- Line Properties
- (x,y) Plot and Subplots
- Knowledge Check
- Types of Plots
- Draw a pair plot using seaborn library
- Assignment 01 Demo
- Analysing Cause of Death
- Quiz
- Key Takeaways
Lesson 11: Web Scraping with Beautiful Soup
- Web Scraping and Parsing
- Knowledge Check
- Understanding and Searching the Tree
- Navigating options
- Demo3 Navigating a Tree
- Knowledge Check
- Modifying the Tree
- Parsing and Printing the Document
- Web Scraping of Website
- Assignment 01 Demo
- Web Scraping of the Website Resource page
- Assignment 02 demo
- Quiz
- Key takeaways
Lesson 12: Python integration with Hadoop MapReduce and Spark
- Why Big Data Solutions are Provided for Python
- Hadoop Core Components
- Python Integration with HDFS using Hadoop Streaming
- Demo 01 - Using Hadoop Streaming for Calculating Word Count
- Knowledge Check
- Python Integration with Spark using PySpark
- Demo 02 - Using PySpark to Determine Word Count
- Knowledge Check
- Determine the word count
- Assignment 01 Demo
- Display all the airports based in New York using PySpark
- Assignment 02 Demo
- Quiz
- Key takeaways
Practice Projects
IBM HR Analytics Employee Attrition Modeling.
How it helps
Almost half of the Data science jobs today require proficiency in the Python programming language. The Data Science with Python Certification Training Course by Simplilearn will not only teach candidates the various tools of the platform but also help them apply those tools and techniques with an array of industry projects.
All in all, the course will get you ready for the evolving Data science industry, which is supposed to grow 15-fold in the coming 3-4 years. Once you complete the course, you can work as a Data Scientist or Analyst and earn a lucrative pay of INR 5 lakhs per annum.
FAQs
Once you complete the Data Science with Python Certification Training Course successfully, you will receive a course completion certificate.
The Data Science with Python Certification Training Course by Simplilearn completion certificate has lifelong validity.
A high-level programming language, Python is mostly used in areas like web development and app development.
Python can be used for performing detailed data manipulation, data analysis, and data visualisation which makes it a mandatory tool to have for all the aspiring data scientists out there.
Candidates will be able to apply and get hired in companies such as Amazon, Walmart, Oracle, Accenture, Microsoft, and many more.