Data Science with Python Certification Course
The Data Science with Python Training is designed keeping the data scientist role in mind. Python has been accepted as an easy-to-use language and thus data analysis becomes simple. Also, the library availability of python allows it for greater community participation. This course module consists of details of data analytics tools and all the effective techniques used in Python. The online course is structured in such a way to provide in-depth knowledge and offers a great career in data science.
Data Science with Python Training Course
44 hours of Live-Virtual Training - 4 industry-based projects
- Hands on assignment for each module
44 hours of Live-Virtual Training - Life time access to all recorded sessions
- No Cost EMI Available
Data Science with Python Course Content
- Introduction to Data Science
- Different Sectors Using Data Science
- Purpose and Components of Python
- Quiz
- Key Takeaways
- Data Analytics Process
- Knowledge Check
- Exploratory Data Analysis(EDA)
- EDA-Quantitative Technique
- EDA - Graphical Technique
- Data Analytics Conclusion or Predictions
- Data Analytics Communication
- Data Types for Plotting
- Data Types and Plotting
- Quiz
- Introduction to Statistics
- Statistical and Non-statistical Analysis
- Major Categories of Statistics
- Statistical Analysis Considerations
- Population and Sample
- Statistical Analysis Process
- Data Distribution
- Dispersion
- Histogram
- Testing
- Correlation and Inferential Statistics
- Key Takeaways
- Anaconda
- Installation of Anaconda Python Distribution (contd.)
- Data Types with Python
- Basic Operators and Functions
- Quiz
- Key Takeaways
- Introduction to Numpy
- Activity-Sequence it Right
- Creating and Printing an ndarray
- Class and Attributes of ndarray
- Basic Operations
- Activity-Slice It
- Copy and Views
- Mathematical Functions of Numpy
- Analyse GDP of Countries
- Analyse London Olympics Dataset
- Quiz
- Introduction to SciPy
- SciPy Sub Package - Integration and Optimization
- SciPy sub package
- Calculate Eigenvalues and Eigenvector
- SciPy Sub Package - Statistics, Weave and IO
- Solving Linear Algebra problem using SciPy
- Perform CDF and PDF using Scipy
- Quiz
- Introduction to Pandas
- Understanding DataFrame
- Missing Values
- Data Operations
- File Read and Write Support
- Knowledge Check-Sequence it Right
- Pandas Sql Operation
- Analyse the Federal Aviation Authority Dataset using Pandas
- Analyse NewYork city fire department Dataset
- Quiz
- 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
- Analysing Ad Budgets for different media channels
- Building a model to predict Diabetes
- NLP Overview
- NLP Applications
- NLP Libraries-Scikit
- Extraction Considerations
- Scikit Learn-Model Training and Grid Search
- Analysing Spam Collection Data
- Sentiment Analysis using NLP
- Quiz
- Introduction to Data Visualization
- Line Properties
- (x,y) Plot and Subplots
- Types of Plots
- Draw a pair plot using seaborn library
- Assignment 01 Demo
- Analysing Cause of Death
- Quiz
- Key Takeaways
- Web Scraping and Parsing
- Understanding and Searching the Tree
- Navigating options
- Modifying the Tree
- Parsing and Printing the Document
- Quiz
- Why Big Data Solutions are Provided for Python
- Hadoop Core Components
- Python Integration with HDFS using Hadoop Streaming
- Using Hadoop Streaming for Calculating Word C
- Knowledge Check
- Python Integration with Spark using PySpark
- Using PySpark to Determine Word Count
- Determine the wordcount
- Display all the airports based in New York using PySpark
- Quiz
Data Science with Python Training Course
The Data Science with Python Course will teach you right from the basics of Python programming allowing you to master the concepts. This training aims at introducing data analysis, data visualization, data wrangling, data exploration, mathematical computing, and web scraping using Python. Further, it covers machine learning (ML) concepts, and natural language processing (NLP). At the end of this training, you will be able to use the data analytic tools using Python.
Python Data Science Course Certificate
Data Science with Python Certification and Training FAQ's
A basic understanding of coding and awareness of at least one scripting language will help. Good in mathematical computation, statistics, and reasoning with college graduation is the prerequisite to attend Data Science using Python Course.
Python is a high-level, object-oriented, interpreted programming language with dynamic semantics. The high-level built-in data structures in combination with dynamic binding and typing make it the best for quick application development and are also used as a scripting language.
The data scientist needs to access the NumPy and SciPy libraries to quickly being with the technical and scientific computing tasks. Thus learning Python provides access to many data science libraries namely NumPy, Pandas and hence it is the perfect language to implement algorithms and develop applications.
All multinational companies like Google, Intel, IBM, NASA, JP Morgan Chase, Facebook, Netflix, Etc., use Python.
Programmers code the search engine with Python to obtain information without digging at the library. Businesses display their ads for visibility on the internet.
Finish the data science with Python course to build a data science project portfolio from your browser with Pandas, Sklearn, TextBlob, Plotly, etc.
Python is easy to use because of its simple syntax. Python makes it easy for individuals without an engineering background to work with it.
The Data Science with Python course is a 44-hour live virtual training.
Data Scientists use Python to automate reports, academic research, reporting, and predicting for business and web scraping.
The Data Science with Python Course will equip you with skills to use data analytic tools with Python.
You do not need prior coding experience to learn Data Science with Python Course because the training starts with the basics.
Yes, it is possible to learn data science using python online. The exponential growth in technology has made this possible with a minimum system requirement. You can attend the class online at your convenience and from home. You get access to all training materials and videos for future reference. Further, you will get access to our blogs which will be updated periodically with the latest development in data science tools and techniques.
It is not much different from other online courses but for running Python you need a 32 or 64-bit operating system. It can be a PC or Laptop with Windows or Mac. 1 GM RAM support is required.
We are available to your concerns 24/7 via email, chat, and calls. Reach our website and at once you can witness our Chatbot eagerly waiting to help you.
It is a cloud-based virtual lab that helps in learning and practicing several tools including Artificial Intelligence, Machine learning, Deep learning, and Big Data like (Hadoop or Spark) technologies.
It is pre-installed along with Python packages on the cloud-lab as it is a cloud-based Jupyter Notebook and makes life easy for the participants to execute all the demos shown in class as well as execute real-time projects.
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The trainers associated with Staragile are industry experts in data science with more than a decade of experience in teaching. Staragile has selected the best trainers upon making them go through a rigorous hiring process. They have proven track records and subject matter experts.
Live virtual or online training
Choose the timing and attend the data science with Python class from your place of convenience using a PC via a video call. This is interactive and you can communicate with the trainer online.
Online Self Learning
In this mode, you will get access to the recorded videos and you can watch them based on your time convenience.
Both options are available with us for you to attend the data science using Python course. You decide and make payment accordingly for either an online class or access to recorded videos alone.
If you have opted for a recorded video class, then you need not worry about missing classes as you can watch the video based on your choice.
However, if you have selected for an online class, then still you will get the recorded video of every session. Thus you can refer to the missed classes from them.
It is possible to cancel the enrolment and Staragile will refund the course fee with a minimum deduction of the administration fee.
Yes, it is decided on a case to case basis and we would request you to reach us for more details.
- Visit Staragile Website
- Choose the Course
- Select the Mode of Course
- Make payment via Credit or Debit card. Use the Net banking method, NEFT, Wallets.
- Visit Staragile Contact us page. Submit the form
- Send an email with your query to trainings@staragile.com
- Call us
- Click on Drop a Query
Follow any of the above methods to get in touch with us.
Data Science with Python Certification & Exam FAQ's
The practice test is part of the Python Data Science Course and 1 test is given before the actual certification exam. It is called the mock exam which will be similar to the actual exam. The duration of the test is 60 minutes and will contain 50 MCQ questions. It is possible to pause the test and retake it at a later time.
Online Live Virtual Training
- Register for the course and attend the entire Data Science using Python training class
- Choose one project with the help of the trainer and complete the same to become eligible for a certification
Self-Learning Online
- Register and attend 85% of the training program
- Choose a project and complet
Register for the Python Data Science Course with Staragile. After completing the course you will get a course completion certificate from Staragile which is valid for a lifetime and is recognized in the industry.
The Data Science course with Python from StarAgile is valid for a lifetime.
Python is well-suited for data science. While it may not be the best language for the job, it is possible to learn data science with Python.
Data Science with Python Training Course- Advance FAQs
Python is one of the best languages used for data science. With libraries such as NumPy and SciPy, it is easy to manipulate and analyze data.
Python is a user-friendly programming language that is well-known. Python makes it possible for anyone to learn the basics and start working with data.
Both languages have their strengths and weaknesses. Some experts believe R is better for data science tasks due to its powerful built-in libraries and capabilities.
Learning the basics of Python will give you a strong foundation for working with data. These include oops concept, control statements, and data types.
Python is widely used because of its many libraries useful for data analysis and machine learning. Other languages to use are R, Java, and MATLAB.
Distinctions and Achievements
Data Science with Python Training Course
The Data Science with Python Course will teach you right from the basics of Python programming allowing you to master the concepts.
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