Achieve Your Dream Career with Python Data Science Certification
Python Data Science Certification in Laos provides an individual with the fundamental skills to analyze data with the aid of Python programming language. It is an attestation course that bestows knowledge on data manipulation and data visualization, and enables professionals to make data-driven decisions. Python Data Science Certification calibrates individuals with an ingrained awareness of statistical techniques to interpret data and implement solutions to various concerns affecting business operations. It equips professionals with the consciousness of understanding data types in Python and NumPy Arrays. The certification affirms the credibility of an individual in identifying patterns and varying trends of data. It improves efficiency in individuals to make productive decisions for organizations. Therefore, Python Data Science Certification enhances the potential of a professional to flourish with high growth opportunities.
Does awareness of Python Data Science help an organization?
Organizations benefit from Python Data Science Certification, as the certified professionals can leverage innovative product development and thus aid organizations in gaining a competitive advantage. Organizations can implement the best risk management strategies with data science tools and tactics. It enables organizations to understand more about the attitudes and behavior of customers by interpreting customer data. In addition, this certification augments organizations' capability to adhere to best cost-effective practices and industrial requirements. Furthermore, Python Data Science techniques aid in strategic resource allocation, logistics, and supply chain management, and thus help in optimizing business operations.
Know more about Python Data Science Training
Python Data Science Course develop the efficiency of professionals in using Python Programming Language and its predominance. Professionals can attain a profound knowledge of working with I Python. Professionals can improve proficiency in working with Pandas, installing and using Pandas, and operating on Data in Pandas and Pandas Objects. Python Data Science Training in Laos focuses on providing knowledge in the overview of Matplotlib. However, participants should take a Python Data Science Exam based on the subjects of the course. Course materials are provided for candidates to enhance their learning. This exam will be conducted for 90 minutes, and it will contain 50 MCQs. Exam helps professionals assess their knowledge of Python Data Science .
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Python Data Science Exam Details | |
Exam Name | Python Data Science Certification |
Exam Format | Multiple choice |
Total Questions | 50 Questions |
Passing Score | 70% |
Exam Duration | 90 Minutes |
Key Features of Python Data Science Certification Training in Laos
Python Data Science Training in Laos provides skills and insight to make data-driven decisions and create predictive models using Python language. This is an informative training that provides awareness on the basics of Python and special commands of Python. It enables organizations to demonstrate proven evidence of their competency. This Python Data Science Course in Laos is articulated to attain strategic knowledge on all aspects of Python Data Science, including data visualization with Seaborn. We provide a supreme package of course materials with case studies. Python Data Science Course provides a detailed awareness of its application in the real world. Unichrone assures extensive support to its aspirants through telephone and email. Our trainers are well-versed in Python Programming for Data Science. There is a facility for online or offline training. We offer career assistance to become a part of organizations that need professionals with advanced knowledge of Python for Data Science. Therefore, aspirants can expect a blooming career with this certification.
- 3 Day Interactive Instructor –led Online Classroom or Group Training in Laos
- Course study materials designed by subject matter experts
- Mock Tests to prepare in a best way
- Highly qualified, expert & accredited trainers with vast experience
- Enrich with Industry best practices and case studies and present trends
- Python Data Science Training Course adhered with International Standards
- End-to-end support via phone, mail, and chat
- Convenient Weekday/Weekend Python Data Science Training Course schedule in Laos
Python Data Science Certification Benefits
Higher Salary
With this renowned credential, aspirants earn higher salary packages when compared to non-certified professionals in the field
Individual accomplishments
Aspirants can look for higher career prospects at an early stage in their life with the most esteemed certification
Gain credibility
Owning the certification makes it easier to earn the trust and respect of professionals working in the same field
Rigorous study plan
The course content is prescribed as per the exam requirements, covering the necessary topics to ace the exam in the first attempt
Diverse job roles
Attaining the certification enhances the spirit of individuals to pursue diverse job roles in the organization
Sophisticated skillset
With this certification, individuals acquire refined skills and techniques required to play their part in an organization
Python Data Science Training Course Curriculum
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Module 1: Introduction of Python
Topics
- · What is Python?
- · What can be Done by Using Python Programming Language?
- · Why Python?
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Module 2: Working with IPython
Topics
- · Launching IPython Shell and Jupyter Notebook
- · Keyboard Shortcuts in the IPython Shell
- · Special Commands of Python
- · Pasting Code Blocks: %paste and %cpaste
- · Running External Code: %run
- · Timing Code Execution: %timeit
- · %magic and %Ismagic
- · IPython’s In and Out Objects
- · IPython and Shell Commands
- · Errors and Debugging
- · Profiling and Timing Code
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Module 3: Introduction to NumPy
Topics
- · Understand Data Types in Python
- · NumPy Arrays
- · Universal Functions
- · Aggregations: Min, Max and more
- · Computation on Arrays: Broadcasting
- · Comparison, Boolean Logic, and Masks
- · Fancy Indexing
- · Sorting Arrays
- · NumPy’s Structured Array
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Module 4: Working with Pandas
Topics
- · Installing and Using Pandas
- · Pandas Objects
- · Data Indexing and Selection
- · Operating on Data in Pandas
- · Handling Missing Data
- · Hierarchical Indexing
- · Concat and Append
- · Merge and Join
- · Aggregations and Grouping
- · Pivot Tables
- · Vectorized String Operations
- · Working with Time Series
- · eval() and query()
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Module 5: Visualization with Matplotlib
Topics
- · Overview of Matplotlibs
- · Object Oriented Interface
- · Two Interfaces
- · Simple Line Plots and Scatter Plots
- · Visualizing Errors
- · Density and Contour Plots
- · Histograms, Binnings, and Density
- · Customizing Plot Legends
- · Customizing Color bars
- · Multiple Subplots
- · Text Annotation
- · Three-Dimensional Plotting in Matplotlib
- · Visualization with Seaborn