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Python Certification Online Training in Raleigh USA

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  • Beginner & Advanced level Classes.
  • Hands-On Learning in Python.
  • Best Practice for interview Preparation Techniques in Python.
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best curriculum Designed by Industrial Python Certification Expert.
  • Delivered by 9+ years of Python Certification Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
  • Next Python Certification Batch to Begin this week – Enroll Your Name Now!

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Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session


Weekend Regular

(10:00 AM - 01:30 PM)

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Have Cracked Their Dream Job in Top MNC Companies

Learn From Experts, Practice On Projects & Get Placed in IT Company

  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent
  • You will not only gain knowledge of Python Certification and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills
  • Experienced Trainers and Lab Facility
  • Python Certification professional Certification Guidance Support with Exam Dumps
  • For Corporate, we act as one stop recruiting partner. We provide right skilled candidates who are productive right from day one
  • Resume & Interviews Preparation Support
  • Concepts: Data Structures & Data Types, Functions& Modules, Exceptions Handling, Generators and iterators, GUIs, SQL Database, DJANGO, API
  • Classroom Batch Training
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About Python Certification Online Training Course in Raleigh USA

ACTE Data scientist is a job title that’s often poorly defined. It’s usually an analyst that knows some programming and machine learning. A machine learning engineer is a full-blown software engineer that has specialized in machine learning.


Data Science, Machine learning is not dependent on Data Science at all. but the thing is, Machine learning can help in Data Science. Data Science requires number of statistical models, Probability Models, Huge number of calculations of decimal point of data and many more.! So yes, Machine learning is much useful in Data Science.

Most Job Oriented Python Certification Online Topics Covered
  • C, C++, Java

    DataScience, Pandas

    Data Analysis, IPython

  • XML, JSON and the Web

    Machine Learning, NumPy

    Data types and Operators

  • Control Flow, Functions

    Scripting, Django

    FLask, Pyramid & Bottle

Python Certification is good for a career because it is valuable in the software industry for the following reasons: It is widely used you can easily assemble a team of programmers experienced in it. Recently Python Certification Developer has become a very sought after job in the industry. ... Python Certification programming language is much more preferred coding language than C++ and Java. This is because a Python Certification code is not only shorter and more readable than its popular peers are but is also very versatile.

The future scope of Python Certification programming language can also predicted by the way has helped big data technology to grow. Python Certification has been successfully contributing in analysing a large number of data sets across computer clusters through its high-performance toolkits and libraries. Salary varies as a Python Certification Developer according to the different Cities in India. As per the present criteria, Bangalore is the number 1 city for working as a Python Certification Developer. Therefore, the Salary in Bangalore is varied to 460, 000. In Pune, it is near about 320,000, In Raleigh USA Its 220,000, New Delhi it is 120,000.

Python Certification developers are in high demand - not only because the language is so popular and widely used but also mostly because Python Certification became a solution in many different areas. From web applications to data science and machine learning. However, it is not enough to be master the language itself. s for Data Science, it is a rising star of the Python Certification world. Pandas, Numpy and SciPy are all tools that are highly in demand, along with Jupiter notebooks.

We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings in Python. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.

Yes, Python Certification is valuable in a variety of different careers, not just as a programmer. ... If you want to become a software developer that utilizes Python, such as backend web development, Python Certification is a great choice. It used in a variety of different areas. Yes, Python Certification is valuable in a variety of different careers, not just as a programmer. ... If you want to become a software developer that utilizes Python, such as backend web development, Python Certification is a great choice. It used in a variety of different areas.

The biggest difference between the two languages is that Java is a statically typed and Python Certification is a dynamically typed. Python Certification is strongly but dynamically typed. ... This makes Python Certification very easy to write and not too bad to read, but difficult to analyse. Static type inference in Python Certification is a known hard problem. Python Certification is more productive language than Java. Python Certification is an interpreted language with elegant syntax and makes it a very good option for scripting and rapid application development in many areas. ... Python Certification code is much shorter, even though some Java “class shell” not listed.

Python Certification is all about libraries- pre-written codes by the Python Certification Devs/Community. All you have to do is to fetch these codes to make your own program(s). In short, it is great! Regarding your question, NO, one does not need to be proficient in C to learn Python. If you want to learn Python, you just need to know basics of programming languages like C and C++. ... Python Certification has become the most popular language in year 2020. Once you learn Python Certification thoroughly, it will become easy to find jobs. Many companies are using Python Certification for developing their websites, GUI development.

Our courseware is designed to give a hands-on approach to the students in Python. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.

However, the worth of any programming language totally depends upon the tasks to performed, or the field you are going to work it. After intense research, it has found that among all the programming languages, Python Certification has enough reasons to be something worth to learn in 2020. It is always worth to learn programming language is popular and commonly used.... If you consider learning Python Certification to get a job as a software developer, it seems a reasonable choice.

Python Certification has managed to dominate other programming languages such as Java, C, C++, etc. ... In over the span of 25 years, Python Certification has managed to reach a level that is high above others making it the fastest growing language. Not only this, but it also has a promising future along with the addition of other technology. The data science, AI and ML has more future for Python Certification in coming days with the salary hikes in India.

Top reasons to consider a career in Python?

First and foremost reason why Python Certification is much popular because it is highly productive as compared to other programming languages like C++ and Java. ... Python Certification is also very famous for its simple programming syntax, code readability and English-like commands that make coding in Python Certification lot easier and efficient... and there are some Top reason to learn Python.

  • Data science.
  • Scientific and mathematical computing.
  • Web development.
  • Finance and trading.
  • System automation and administration.
  • Computer graphics.
  • Basic game development.
  • Security and penetration testing.

  • 5 Steps to Launch Your Data Science Career (with Python)

    Welcome! If you're interested in the exciting world of data science, but don't know where to start.

    • Step 0:Figure out what you need to learn.
    • Step 1: Get comfortable with Python.
    • Step 2: Learn data analysis, manipulation, and visualization with pandas.
    • Step 3: Learn machine learning with scikit-learn.
    • Step 4: Understand machine learning in more depth.
    • Step 5: Keep learning and practicing.
    • Step 0: Figure out what you need to learn.

    • Data science can be an overwhelming field. Many people will tell you that you can't become a data scientist until you master the following: statistics, linear algebra, calculus, programming, databases, distributed computing, machine learning, visualization, experimental design, clustering, deep learning, natural language processing, and more. That's simply not true.
    • So, what exactly is data science? It's the process of asking interesting questions, and then answering those questions using data. Generally speaking, the data science workflow looks like this:

    • Ask a question
    • Gather data that might help you to answer that question.
    • Clean the data.
    • Explore, analyze, and visualize the data.
    • Build and evaluate a machine learning model.
    • Communicate results.
    • This workflow doesn't necessarily require advanced mathematics, a mastery of deep learning, or many of the other skills listed above. But it does require knowledege of a programming language and the ability to work with data in that language. And although you need mathematical fluency to become really good at data science, you only need a basic understanding of mathematics to get started.

      It's true that the other specialized skills listed above may one day help you to solve data science problems. However, you don't need to master all of those skills to begin your career in data science. You can begin today, and I'm here to help you!

      Step 1: Get comfortable with Python

    • Python and R are both great choices as programming languages for data science. R tends to be more popular in academia, and Python tends to be more popular in industry, but both languages have a wealth of packages that support the data science workflow. I've taught data science in both languages, and generally prefer Python. (Here's why.)
    • You don't need to learn both Python and R to get started. Instead, you should focus on learning one language and its ecosystem of data science packages. If you've chosen Python (my recommendation), you may want to considering installing the Anaconda distribution because it simplifies the process of package installation and management on Windows, OSX, and Linux.
    • You also don't need to become a Python expert to move on to step 2. Instead, you should focus on mastering the following: data types, data structures, imports, functions, conditional statements, comparisons, loops, and comprehensions. Everything else can wait until later!
    • If you're not sure whether you know enough Python, scan through my Python Quick Reference. If most of that material is familiar to you, you can move on to step 2!
    • If you're looking for a course to help you learn Python, here are a few recommendations:
    • DataCamp offers a short, interactive course in beginning Python.
    • Introduction to Python is a more substantial course in beginning Python that feels like an interactive textbook.
    • Google's Python Class is best for people with some programming experience, and includes lecture videos and downloadable exercises.
    • Python Jumpstart by Building 10 Apps is an excellent video course taught by Michael Kennedy (host of the Talk Python To Me podcast).
    • Step 2: Learn data analysis, manipulation, and visualization with pandas

    • For working with data in Python, you should learn how to use the pandas library.
    • pandas provides a high-performance data structure (called a DataFrame) that is suitable for tabular data with columns of different types, similar to an Excel spreadsheet or SQL table. It includes tools for reading and writing data, handling missing data, filtering data, cleaning messy data, merging datasets, visualizing data, and so much more. In short, learning pandas will significantly increase your efficiency when working with data.
    • However, pandas includes an overwhelming amount of functionality, and (arguably) provides too many ways to accomplish the same task. Those characteristics can make it challenging to learn pandas and to discover best practices.
    • That's why I created a pandas video series (36 videos) that teaches the pandas library from the ground up. Each video answers a question using a real dataset, and the datasets are posted online so you can follow along at home. (I also created a well-commented Jupyter notebook that includes the code from every video.)
    • "Your videos are extremely helpful. I like that you use actual data sets and try a lot of different applications of the concept being discussed rather than just overly simplistic examples. Your content has helped me immensely!" - Sean Montague.
    • If you're already an intermediate pandas user, you may want to learn my top 25 pandas tricks, learn about best practices with pandas, or take my online pandas course.
    • If you would prefer a non-video resource for learning pandas, here are my recommended resources.
    • Step 3: Learn machine learning with scikit-learn

    • For machine learning in Python, you should learn how to use the scikit-learn library.
    • Building machine learning models to predict the future or automatically extract insights from data is the sexy part of data science. scikit-learn is the most popular library for machine learning in Python, and for good reason:

    • It provides a clean and consistent interface to tons of different models.
    • It offers many tuning parameters for each model, but also chooses sensible defaults.
    • Its documentation is exceptional, and it helps you to understand the models as well as how to use them properly.
    • However, machine learning is still a highly complex and rapidly evolving field, and scikit-learn has a steep learning curve. That's why I created a scikit-learn video series (10 videos), which will help you to gain a thorough grasp of both machine learning fundamentals and the scikit-learn workflow. The series doesn't presume any familiarity with machine learning or advanced mathematics. (You can find all of the code from the series on GitHub.)
    • "Your videos are absolutely incredible. I have just completed the course on Machine Learning with Python and I can say I understood every single thing thanks to your excellent teaching style and skills." - Guillaume B.
    • Once you've finished the video series, you should read about how to update your scikit-learn code for 2018 and consider taking my online course, Machine Learning with Text in Python.
    • If you would prefer a non-video resource for learning scikit-learn, I recommend either Python Machine Learning (Amazon / GitHub) or Introduction to Machine Learning with Python (Amazon / GitHub).
    • Step 4: Understand machine learning in more depth

      Machine learning is a complex field. Although scikit-learn provides the tools you need to do effective machine learning, it doesn't directly answer many important questions:

    • How do I know which machine learning model will work "best" with my dataset?
    • How do I interpret the results of my model?
    • How do I evaluate whether my model will generalize to future data?
    • How do I select which features should be included in my model?
    • And so on...
    • If you want to become great at machine learning, you need to be able to answer those questions, which requires both experience and further study. Here are some resources to help you along that path:

      My top recommendation is to read An Introduction to Statistical Learning (PDF / Amazon). It will help you to gain both a theoretical and practical understanding of many important methods for regression and classification, without requiring a background in advanced mathematics. The authors also released 15 hours of high-quality videos to supplement the book.

    • If you need a refresher on probability or statistics, I recommend reading OpenIntro Statistics (PDF / Amazon).
    • I created a few short guides to help you with feature engineering and feature selection.
    • I created lessons to help you learn linear regression and logistic regression, two of the most popular machine learning models.
    • Although nothing can replace an in-depth understanding of a variety of models, I created a comparison chart of supervised learning models that may serve as a useful reference guide.
    • I created a few guides to help you to evaluate the quality of your model: Simple guide to confusion matrix terminology, ROC curves and AUC explained, and Comparison of evaluation procedures and metrics.
    • Step 5: Keep learning and practicing

    • Here is my best advice for improving your data science skills: Find the thing that motivates you to practice what you learned and to learn more, and then do that thing. That could be personal data science projects, Kaggle competitions, online courses, reading books, reading blogs, attending meetups or conferences, or something else!
    • Kaggle competitions are a great way to practice data science without coming up with the problem yourself. Don't worry about how high you place, just focus on learning something new with every competition. (Keep in mind that you won't be practicing important parts of the data science workflow: asking questions, gathering data, and communicating results.)
    • Contributing to open source projects will help you to practice collaborating with others. My step-by-step guide to contributing on GitHub will guide you through this process! (If you're new to Git, I have a short video series that will help you to master the basics.)
    • If you create your own data science projects, you should share them on GitHub and include writeups. That will help to show others that you know how to do reproducible data science.
    • If you like email newsletters, my favorites are Data Elixir, Data Science Weekly, Python Weekly, and PyCoder's Weekly.
    • If you want to truly experience the Python community, I highly recommend attending PyCon US. (There are also smaller PyCon conferences elsewhere.) As a data scientist, you should also consider attending SciPy and the nearest PyData conference.
    • I also have a few other tips for staying up-to-date as a data scientist.
    • Your data science journey has only begun! There is so much to learn in the field of data science that it would take more than a lifetime to master. Just remember: You don't have to master it all to launch your data science career, you just have to get started!
    Show More

    Key Features

    ACTE Raleigh USA offers Python Certification Training in more than 27+ branches with expert trainers. Here are the key features,

    • 40 Hours Course Duration
    • 100% Job Oriented Training
    • Industry Expert Faculties
    • Free Demo Class Available
    • Completed 500+ Batches
    • Certification Guidance

    Authorized Partners

    ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


    Syllabus of Python Certification Online Training Course in Raleigh USA
    Module 1: An Introduction to Python
    • What can Python Certification do?
    • Why Python?
    • Good to know
    • Python Certification Syntax compared to other programming languages
    • Python Certification Install
    Module 2 : Beginning Python Certification Basics
    • The print statement
    • Comments
    • Python Certification Data Structures & Data Types
    • String Operations in Python
    • Simple Input & Output
    • Simple Output Formatting
    • Operators in python
    Module 3: Python Certification Program Flow
    • Indentation
    • The If statement and its’ related statement
    • An example with if and it’s related statement
    • The while loop
    • The for loop
    • The range statement
    • Break &Continue
    • Assert
    • Examples for looping
    Module 4: Functions& Modules
    • Create your own functions
    • Functions Parameters
    • Variable Arguments
    • Scope of a Function
    • Function Documentations
    • Lambda Functions& map
    • n Exercise with functions
    • Create a Module
    • Standard Modules
    Module 5: Exceptions Handling
    • Errors
    • Exception handling with try
    • handling Multiple Exceptions
    • Writing your own Exception
    Module 6: File Handling
    • File handling Modes
    • Reading Files
    • Writing& Appending to Files
    • Handling File Exceptions
    • The with statement
    Module 7: Classes In Python
    • New Style Classes
    • Creating Classes
    • Instance Methods
    • Inheritance
    • Polymorphism
    • Exception Classes & Custom Exceptions
    Module 8: Generators and iterators
    • Iterators
    • Generators
    • The Functions any and all
    • With Statement
    • Data Compression
    Module 9: Data Structures
    • List Comprehensions
    • Nested List Comprehensions
    • Dictionary Comprehensions
    • Functions
    • Default Parameters
    • Variable Arguments
    • Specialized Sorts
    Module 10: Collections
    • namedtuple()
    • deque
    • ChainMap
    • Counter
    • OrderedDict
    • defaultdict
    • UserDict
    • UserList
    • UserString
    Advance PythonModule 11: Writing GUIs in Python
    • Introduction
    • Components and Events
    • An Example GUI
    • The root Component
    • Adding a Button
    • Entry Widgets
    • Text Widgets
    • Check buttons
    Module 12: Python Certification SQL Database Access
    • Introduction
    • Installation
    • DB Connection
    • Creating DB Table
    • INSERT, READ, UPDATE, DELETE operations
    • COMMIT & ROLLBACK operation
    • handling Errors
    Module 13: Network Programming
    • Introduction
    • A Daytime Server
    • Clients and Servers
    • The Client Program
    • The Server Program
    Module 14: Date and Time
    • sleep
    • Program execution time
    • more methods on date/time
    Module 15: Few more topics in-detailed
    • Filter
    • Map
    • Reduce
    • Decorators
    • Frozen set
    • Collections
    Module 16: Regular expression
    • Split
    • Working with special characters, date, emails
    • Quantifiers
    • Match and find all
    • character sequence and substitute
    • Search method
    Module 17: Threads ESSENTIAL
    • Class and threads
    • Multi-threading
    • Synchronization
    • Treads Life cycle
    • use cases
    Module 18: Accessing API ESSENTIAL
    • Introduction
    • Facebook Messenger
    • Openweather
    Show More
    Show Less
    Need customized curriculum?

    Hands-on Real Time Python Certification Projects

    Project 1
    Lavante SIM - CRM

    Lavante [SIM] allows you to collect detailed information on all of your suppliers & Customers, including detailed information on each contact.

    Project 2
    MWS - Insurance

    It is used to manage the mobile policies and claims management and interacting with the external systems like Real Time Logistic provider.

    Our Top Hiring Partner for Placements

    ACTE Raleigh USA offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

    • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
    • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
    • After completion of 70% Python Certification training course content, we will arrange the interview calls to students & prepare them to F2F interaction
    • Python Certification Trainers assist students in developing their resume matching the current industry needs
    • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
    • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

    Get Certified By Python Certification & Industry Recognized ACTE Certificate

    Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

    Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

    Complete Your Course

    a downloadable Certificate in PDF format, immediately available to you when you complete your Course

    Get Certified

    a physical version of your officially branded and security-marked Certificate.

    Get Certified

    About Experienced Python Certification Trainer

    • Our Python Certification Training in Raleigh USA. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
    • As all Trainers are Python Certification domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
    • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
    • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
    • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Python Certification training to the students.
    • We have received various prestigious awards for Python Certification Training in Raleigh USA from recognized IT organizations.

    Python Certification Course FAQs

    Looking for better Discount Price?

    Call now: +91 93833 99991 and know the exciting offers available for you!
    • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
    • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
    • More than 3500+ students placed in last year in India & Globally
    • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
    • 85% percent placement record
    • Our Placement Cell support you till you get placed in better MNC
    • Please Visit Your Student Portal | Here FREE lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
      ACTE Gives Certificate For Completing A Course
    • Certification is Accredited by all major Global Companies
    • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
    • The entire Python Certification training has been built around Real Time Implementation
    • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
    • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
    All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
    No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
    We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

    Why Should I Learn Python Certification Course At ACTE?

    • Python Certification Course in ACTE is designed & conducted by Python Certification experts with 10+ years of experience in the Python Certification domain
    • Only institution in India with the right blend of theory & practical sessions
    • In-depth Course coverage for 60+ Hours
    • More than 50,000+ students trust ACTE
    • Affordable fees keeping students and IT working professionals in mind
    • Course timings designed to suit working professionals and students
    • Interview tips and training
    • Resume building support
    • Real-time projects and case studies
    Yes We Provide lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
    You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
    We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
    We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Python Certification batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in Python. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
    You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
    Show More
    Request for Class Room & Online Training Quotation

        Job Opportunities in Python

        More Than 35% Of Developers Prefer Python. Python Is The Most Popular And In-Demand Programming Language In The Tech World.

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