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Fast Track Python For Data Science (TTPS4873) Certification Training
Fast Track Python For Data Science (TTPS4873) Certification Training
Fast-Track Your Data Science Mastery with Python!
Over the next several years, there will be a nearly 1000% growth in demand for data scientists and analysis; now is the time to act. Acquiring proficiency in Python is vital for anybody aspiring to work as a data analyst or
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Fast Track Python For Data Science (TTPS4873) Certification Training
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Experienced Subject Matter Experts
Instructor-led Online Training
Fast Track P1thon For Data Science
Data science compiles various data sets to project insights, acquire information, and analyze it to make wise business decisions. Nonetheless, learning some of the finest and most popular computer languages—like Java, C++, R, Python, etc.—is a must for becoming a data scientist. Of them, Python is thought to be the most popular option among data scientists worldwide. In this Fast Track Python for Data Science (TTPS4873), well explore the exciting world of Python and its wide-ranging applications in data science. Additionally, we will examine some data science methods with the Python programming language. Above all, this training will provide you with the knowledge and abilities to lead resilient improvement and transformation.
To offer a comprehensive learning experience, Vinsys uses a dynamic combination of teaching techniques. In practical labs, learners will use many robust libraries that simplify data analysis and visualization as they apply their theoretical knowledge to real-world situations. Cooperative group discussions that foster critical thinking and problem-solving abilities are used to enable learners to explore practical solutions while providing a strong theoretical foundation through lectures given by the teacher. To accommodate different learning styles, self-paced learning tools, and online tutorials are easily accessible. Frequent tests and evaluations aid in tracking pupils development and solidifying their knowledge. After completing the course, students will have access to certification examinations, which will authenticate their knowledge and improve their chances of landing a job in the cutthroat world of Data Science and IT. As weve seen, Python is an increasingly required skill for many data science positions, so enhance your career with this interactive, hands-on course.
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Fast Track Python For Data Science Objectives
Upon completion of the course, the professionals will be competent in the following areas:
• Utilise computational and statistical methods to solve real-world issues and convey the outcomes in oral and written presentations.
• Comprehend the significance of effective data management, the necessity of work documentation for results that can be replicated, and how to evaluate the ethical implications of a data science project.
• Write Python code following accepted conventions.
• Design various plots and customizing them to be visually appealing and interpretable.
• Learn about the pandas DataFrame and dictionary, substitutes for the Python list.
• Construct and modify datasets and use these data structures to get information.
• Recognise and employ variables.
• Deal with pandas DataFrames and basic Python data types such as integers, floats, strings, characters, lists, and dictionaries.
• Employ fundamental flow control, such as conditionals and loop
• Open text files and read data.
• Access data files to acquire basic summary statistics.
• Modify and take data out of pandas InfoFrames.
• Proficiency in using computing tools for data analysis and statistical data analysis.
Target Audience For Fast Track Python For Data Science
Fast Track Python for Data Science Course (TTPS4873) is for those who want to enhance their Python programming language to make a career in Data Science.
• Aspiring Data Scientists
• Data Analysts
• Business Analysts
• Programmers and Developers
• Statisticians and Mathematicians
• Researchers and Academics
• IT Professionals
Course Outline
Module 1: An Overview of Python
• Why Python?
• Python in the Shell
• Python in Web Notebooks (iPython, Jupyter, Zeppelin)
• Demo: Python, Notebooks, and Data Science
Module 2: Getting Started
• Using variables
• Builtin functions
• Strings
• Numbers
• Converting among types
• Writing to the screen
• Command line parameters
• Flow Control
• About flow control
• White space
• Conditional expressions
• Relational and Boolean operators
• While loops
• Alternate loop exits
Module 3: Sequences, Arrays, Dictionaries and Sets
• About sequences
• Lists and list methods
• Tuples
• Indexing and slicing
• Iterating through a sequence
Module 4: Sequence functions, keywords, and operators
• List comprehensions
• Generator Expressions
• Nested sequences
• Working with Dictionaries
Module 5: Working with files
• File overview
• Opening a text file
• Reading a text file
• Writing to a text file
• Reading and writing raw (binary) data
Module 6: Functions
• Defining functions
• Parameters
• Global and local scope
• Nested functions
• Returning values
Module 7: Essential Demos
• Sorting
• Exceptions
• Importing Modules
• Classes
• Regular Expressions
Module 8: The Standard Library
• Math functions
• The string module
Module 9: Dates and times
• Working with dates and times
• Translating timestamps
• Parsing dates from text
• Formatting dates
• Calendar data
Module 10: Python and Data Science
• Data Science Essentials
• Pandas Overview
• NumPy Overview
• SciKit Overview
• MatPlotLib Overview
• Working with Python in Data Science
Choose Your Preferred Mode
Online Training
- 2 days Instructor-led Online Training
- Experienced Subject Matter Experts
- Approved and Quality Ensured training Material
- 24*7 leaner assistance and support
Corporate Training
- Blended Learning Delivery Model (Self-Paced E-Learning And/Or Instructor-Led Options)
- Course, Category, And All-Access Pricing
- Enterprise-Class Learning Management System (LMS)
- Enhanced Reporting For Individuals And Teams
- 24x7 Teaching Assistance And Support
FAQ’s
Can someone enroll in the Fast Track Python Course without prior programming or information technology knowledge?
Yes, students with different experience levels are catered to in the course. Although prior programming knowledge or expertise is advantageous, the course starts with fundamental ideas before moving on to more complex subjects. It is appropriate for novices since it offers a thorough grasp of Python and Data Science.
Which techniques of assessment and evaluation are used to award the Python Certificate?
Students' assessments will be conducted through daily tasks, group projects, and a final test. The evaluation standards will encompass code accuracy, productivity, and quality.
Can learning Python help me obtain a job?
Indeed, pursuing a career in Python development is a wise choice. One of the most widely used programming languages worldwide is Python. After JavaScript and HTML/CSS, Python was the third most used language worldwide in 2021, according to Statista.
Does access to the lab continue after classes end?
The trainers get to use the lab 30 to 180 days after the training. A lab training key will be provided to each student so they may connect to a remote lab environment during class.
Why should I enroll in Vinsys' Fast Track Python course?
Vinsys offers the most outstanding and up-to-date knowledge in certification training since we have been offering technical courses for over 20 years. Notably, Vinsys has earned ISO 9001 certification, attesting to the high caliber of instruction it provides. Vinsys is an excellent location for training because of its outstanding support system and authorized training programs. After you sign up with us for the Python for Data Science certification course, you will receive the best training.
Are there any requisites for the Intermediate Fast Track Python for Data Science course?
While there aren't any explicit qualifications, having a fundamental understanding of programming and basic data analysis proficiency techniques can be beneficial. However, it is not mandatory; prior training or work experience in the IT sector is preferable.
How long will it take me to learn Python for Data Science?
This course will make you a Python for Data Science pro expert in 03 days.
Is there an online version of the course, or is it only offered in person?
Vinsys provides adaptability in the way courses are delivered. There are three different ways to take the course: group instructor-led, virtual instructor-led, and instructor-led. The optimal choice for you will rely on your availability and areas of interest in studying.
Why Vinsys
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