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Data Science with Python Training in Kolkata

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  • We provide beginners with expertise in Data Science with Python from scratch.
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    • We Provide Well Organized and Structure Course Upon completing the requirements and maximum knowledge of the Data Science Program with the support of our highly-skilled training team.
    • You will not solely gain knowledge of Data Science with Python and advanced ideas, however, additionally, gain exposure to business best practices.
    • Experienced Trainers and science lab Facility.
    • Data Science with Python Certified Development Associate - certification steerage Support with communicating Dumps.
    • Practical oriented / Job oriented training. observe Real-Time project eventualities.
    • We have designed an in-depth course, therefore, meet job necessities and criteria.
    • Get to learn trending updates and Data Science with Python Algorithms, NLP Concepts, Data Visualization with Tableau, and IBM Hackathons in the Data Science Program from the Experts.
    • Concepts: Data Science, Python, Python Basic Data types, Python Packages, Importing data, Manipulating Data, Statistics Basics, Machine Learning, Supervised Learning, Unsupervised Learning, Other Machine Learning algorithms.
    • START YOUR CAREER WITH DATA SCIENCE WITH PYTHON COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
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    Course Objectives

      Data Science is one of the most highly paid jobs. According to Glassdoor, Data scientists make an average of $116,100 per year. This makes Data Science a highly lucrative career option.
      Data Science With Python has a really good future. Data scientists and Data science is always improving and change to a vast extent over the next ten years. We can clearly say that the Data Scientist will have a lot of scope in the future, and companies looking for Data scientists will increase. The best job in the future you will get is data science jobs.
      R and Python are the two most popular programming languages used by data analysts and data scientists. Both are free and open-source - R for statistical analysis and Python as a general-purpose programming language. Knowing both R and Python will open doors for more job opportunities.
    We are happy and proud to say that we have a strong relationship with over 700+ small, mid-sized, and MNCs. Many of these companies have openings for Data Science With 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.
    • SciPy.
    • Pandas.
    • Matplotlib.
    • NumPy.
    • SciKit.
    • Seaborn.
      Before proceeding with this tutorial, you should have a basic knowledge of writing code in the Python programming language, using any python IDE, and execution of Python programs. If you are completely new to python then please refer to our Python tutorial to get a sound understanding of the language.
      Yes, If you have basic knowledge, you can learn it online but you need good practice, projects, and case studies. You can start learning R and Python. There are many free courses available to start with. Down the line when you learn this, you will understand how comfortable you are with learning programming.

    Will I Be Given Sufficient Practical Training In Data Science With Python Certification?

      Our courseware is designed to give a hands-on approach to the students in Data Science With 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.

    Is it worth learning Data Science With Python?

      Learning Data Science With Python is worth it. Data science is a wave that is going to sustain for a long time. Unless, the new breed of engineers, graduates, and MBA are aware of it, they will be in deep trouble. I am giving a clarion call because I have seen the good and bad side of data technologies.

    How long would it take to learn Data Science With Python Online Course in Kolkata?

    • Python for data science course duration is short and within 2-3 months of pursuing this course, you can gain the confidence of making or attempting small projects.
    • There are a lot of estimates for the time it takes to learn Python. For data science specifically, estimates range from 3 months to a year of consistent practice.
    • Talking about how long it will be there in the market no one can actually answer it precisely. If you want to learn the SAP Training reach Creating experts ACTE provide you the real-time and advanced level training from experienced professionals.

    Top reasons to consider a career in Data Science With Python Training?

      There is a shortage of data scientists at all levels from beginner, Freshers to manager levels. Since the IT industry is on the verge of change so many middle-level managers and professionals across domains are finding their career growth stagnant. Data science is the best option to overcome downturns of career stagnation. Annual pay hikes for Analytics professionals in India is on average 50% more than other IT professionals. Salary trends for Data science professionals across the globe indicate positive and exponential growth.
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    Overview of Data Science with Python Training in Kolkata

    Certified Advanced Programmer with Data Science with Python Course is an up-to-date Technological Program paving your way to an assured superb career. It is an included path directed with the useful resource of using ACTE. Instructed with the useful resource of using the enterprise’s excessive-first-rate Technical Experts & Founders, this software program software offers mentorship thru Data Experts and directs you to the Fortune 500 companies. The vision is to make the pinnacle splendor companies discover the Right Talent. This Data Science with Python Training in Kolkata software program's software’s curriculum is comprehensively designed to help beginners to acquire information technology knowledge skills in equal time as taking walks with hands-on obligations using prominent eras like Python, MongoDB & Deep Learning methods. Join the league of Emerging Data Scientists who hire their excessive-first-rate skills to find out excessive-first-rate developments and to control the information as an analytical Data Expert.


    Additional Info

    Essentials of Data Science With Python Online Training :

    Python Data Science path lets you look at from scratch the mind of the most effective and lets in draw near essential Python programming concepts, which encompass records processing, report operations further to item-oriented programming, and extremely good Python libraries, which encompass Pandas, Numpy, and Matplotlib. This course in Python for Data Science might also additionally even allow you to draw near the numerous kinds of gadgets gaining knowledge of, recommendation systems, and masses of extra records technological records topics to begin your career in records technological records.

    The Data Science with Python course will educate you on the fundamentals of Python programming. You will look at Data Analysis, Machine Learning, Data Visualization, Web Scraping, and Natural Language Processing (NLP) as part of this Data Science with Python certification software program software utility. After completing this course, you may have mastered the essential system of Data Science with Python. You Can Learn Data Science With Python

    Long identified from the syntactic problem of view, Python is a sincere laptop language. Python offers moreover a big form of libraries and assets in an active community. You have a platform to make use of the cutting-edge technology, which incorporates tools gaining knowledge of and records technological records. Data technological records specialists do no longer want to get caught up in complex programming needs.

    They would like to make hassle-free usage of programming languages that encompass Python and Ruby. Ruby is right with severa records pre-processing chores, for example in records clearing and records munging. However, there are not as many libraries for tool gaining knowledge as for Python.

    In terms of records technological records and tools gaining knowledge of, Python is therefore given the edge. In addition, in Python, we have to developers accumulate programs and execute prototypes to rush up the development tool. Once the project has been transformed into an analytical tool or software program software utility, it may if essential be transferred to extra advanced languages which encompass Java or C.

    New records scientists are gravitating to Python because of its purchaser-first-rate method. So well-known indeed, Python looks as if their desired programming language via a lovely 48% of records scientists with five or fewer years of knowledge. This range is reduced via the upward push withinside the degree of amusement and assessment. For records researchers, Python proved to be a terrific starting problem.

    Benefits of Data technological records With Python:

    • A python is a clever language with a big form of benefits withinside the region of records technological records in Data Science with Python Online Training in Kolkata
    • In this bendy and usually evolving because of the reality, it is open-deliver.
    • Moreover, Python offers an array of beneficial libraries that may be blanketed in addition to fashionable structures with specific languages (which encompass Java).
    • A python is a superb tool in records technological records.
    • The first of Python's severa benefits in records is its simplicity.
    • Whereas advantageous scientists come once more with a technological report or recognize extremely good programming languages, they've got severa statistical backgrounds, arithmetics, or specific techniques, and after stepping into the arena of records technology records they want to no longer have the maximum form of cryptography knowledge.
    • Python's syntax is simple to look at and write, which makes it smooth to start and look at rapidly.
    • If the sheer form of human beings using Python isn't enough to persuade you of its relevance in records technological records, probably the libraries available to make records technology records cryptography lots a whole lot much less hard can.
    • In Python, a library might be hard and fast of modules with pre-built code to help with now no longer unusual place region obligations.
    • They allow us to gain from and depend upon the hard artwork of others. Some records technological records sports activities are probable tough and time-ingesting to code from scratch in specific languages.
    • In Python, there are various libraries available that encompass NumPy, Pandas, and Matplotlib to generate records cleaning, records assessment, records seen pictures, and tool gaining knowledge.

    Industry Trends in Data Science With Python Online Course:

    1. TensorFlow -

    TensorFlow is probably a library for superior numerical calculations with around 35000 comments and an active collection of some 500 contributors. It is done in severa sectors of technological records. TensorFlow is a framework for the define and operation of tensor calculations that diploma tool devices in element described, which ultimately provide a value. A higher display of the tool graph. Reduces neural tool gaining knowledge of errors via 50 to 60 p.c. Smooth library manipulates, parallel computing to perform complex models.

    2. SciPy (Scientific Python) -

    SciPy (Scientific Python) is each unique free and ASCII text report Python library for records research that is extensively used for excessive-degree calculations. Zippy has about nineteen repositories on GitHub and a thriving community of around 600 human beings. It is extensively used for scientific and technical computations as it extends NumPy and gives masses of clean and cost-effective algorithms for scientific calculations. Commands for manipulating records and highbrow pictures on great levels.


    Functions and Responsibilities of Data Science with Python:

    • Management: The records scientist performs an unimportant management characteristic in assisting the building of the database of futuristic and technological competencies to useful resource severa planned and ongoing records analyses.
    • Analytics: The records scientist has a scientific characteristic in planning, implementing, and evaluating excessive-degree records and strategies for software program software programs withinside the most complicated enterprise disturbing conditions. For extremely good issues, which encompass projections, classification, clustering, pattern assessment, sampling, simulation, etc., the records scientist creates financial and statistical models.
    • Strategy/Design: The Data Scientist is essential withinside the arrival of innovative strategies to recognize the firm's purchaser dispositions and manage, just like strategies to cope with complex enterprise issues, which encompass the optimization of product achievement and now no longer unusualplace profit.
    • Collaboration: The Data Scientist's obligation isn't a lonely one, and on this characteristic, he collaborates with superior records scientists to maintain disturbing conditions and outcomes to key stakeholders to beautify the business enterprise's not unusualplace primary basic overall performance and decision-making.
    • Knowledge: The Data Scientist is also important the way in exploring severa generations and techniques to provide novel records-driven insights at the most agile possible fee for the business enterprise. In this case, the records scientist moreover takes the initiative to investigate and use new and better enterprise records technological records methodologies that he gives to the SCO.
    • Additional Duty: A records scientist moreover undertakes associated obligations and obligations due to the reality the senior records scientist, the records technological records director, the records manager, or the business enterprise assigns.

    Tools Employed In Data Science with Python Online Certification:

    • Data Mining ScrapyOne of the maximum famous Python facts technological know-how libraries, Scrapy allows constructing crawling programs (spider bots) that can retrieve based facts from the net – for example, URLs or touch info. It's an extremely good device for scraping facts used in, for example, Python system mastering models.
    • Developers use it for accumulating facts from APIs. This full-fledged framework follows the Don't Repeat Yourself precept withinside the layout of its interface. As a result, the device conjures up customers to put in writing normal code that may be reused for constructing and scaling huge crawlers.
    • BeautifulSoup BeautifulSoup is every other simply famous library for net crawling and facts scraping. If you need to accumulate facts that are to be had on a few internet sites however now no longer thru the right CSV or API, BeautifulSoup will let you scrape it and set up it into the layout you want.
    • Data Processing and Modeling
    • NumPy NumPy (Numerical Python) is a great device for medical computing and acting primary and superior array operations. The library gives many available functions acting operations on n-arrays and matrices in Python. It allows system arrays that save values of the equal facts kind and makes acting math operations on arrays (and their vectorization) easier. The vectorization of mathematical operations at the NumPy array kind will increase overall performance and hurries up the execution time.
    • SciPy This beneficial library consists of modules for linear algebra, integration, optimization, and records. Its primary capability changed into constructed upon NumPy, so its arrays employ this library. SciPy works extremely well for all styles of medical programming tasks (technological know-how, arithmetic, and engineering). It gives green numerical exercises along with numerical optimization, integration, and others in submodules. The big documentation makes operating with this library simply easy.
    • Pandas Pandas is a library created to assist builders' paintings with "labeled" and "relational" facts intuitively. It's primarily based totally on primary facts systems: "Series" (one-dimensional, like a listing of items) and "Data Frames" (-dimensional, like a desk with more than one column). Pandas lets in changing facts systems to DataFrame objects, dealing with lacking facts, and including/deleting columns from DataFrame, imputing lacking files, and plotting facts with histogram or plot field. It’s vital for facts wrangling, manipulation, and visualization.
    • Keras Keras is an extremely good library for constructing neural networks and modeling. It's very sincere to apply and gives builders with an awesome diploma of extensibility. The library takes benefit of different programs, (Theano or TensorFlow) as its backends. Moreover, Microsoft incorporated CNTK (Microsoft Cognitive Toolkit) to function every other backend. It's an extremely good choice in case you need to test speedily the usage of compact structures – the minimalist method to layout simply can pay off
    • SciKit-Learn This is an enterprise fashionable for facts technological know-how tasks primarily based totally on Python. Scikits is a set of programs withinside the SciPy Stack that had been created for particular functionalities – for example, picture processing. Scikit-analyze makes use of the mathematics operations of SciPy to reveal a concise interface to the maximum, not unusualplace system mastering algorithms.
    • Data scientists use it for dealing with fashionable system mastering and facts mining duties along with clustering, regression, version selection, dimensionality reduction, and classification. Another benefit? It comes with high-satisfactory documentation and gives an excessive overall performance.
    • PyTorch PyTorch is a framework this is ideal for facts scientists who need to carry out deep mastering duties easily. The device lets in acting tensor computations with GPU acceleration. It's extensively utilized for different duties – for example, for growing dynamic computational graphs and calculating gradients automatically. PyTorch is primarily based totally on Torch, that's an open-supply deep mastering library applied in C, with a wrapper in Lua.
    • TensorFlow TensorFlow is a famous Python framework for system mastering and deep mastering, which changed into evolved at Google Brain. It's an exceptional device for duties like item identification, speech recognition, and plenty of others. It allows in operating with synthetic neural networks that want to deal with more than one facts sets. The library consists of numerous layer-helpers (tflearn, tf-slim, flow), which make it even extra functional. TensorFlow is continuously multiplied with its new releases – which includes fixes inability protection vulnerabilities or upgrades withinside the integration of TensorFlow and GPU.
    • XGBoost Use this library to put in force system mastering algorithms below the Gradient Boosting framework. XGBoost is portable, bendy, and green. It gives parallel tree boosting that allows groups to clear up many facts technological know-how problems. Another benefit is that builders can run the equal code on predominant allotted environments along with Hadoop, SGE, and MPI

    Advantages of Data Science with Python Online Training:

    1. Simplicity:
  • The first problem that includes the mind while communicating with me about Python's appeal in programming and records technological records is its simplicity.
  • The inherent simplicity and accessibility of Python make it a beginner-first-rate language is one of the great tendencies. Its smooth syntax offers shorter gaining knowledge of curves than most specific language
  • You have to accumulate software program software programs in Python a bargain faster than you may probably write in specific languages like C ++ or Java.
  • Python saves time with the useful resource of using allowing you to jump right into the arrival while no longer having to spend hours analyzing documentation.
  • Python is now extensively used for statistical assessment, statistical assessment, net development, text processing, and masses of severa obligations.
  • 2. Bibliotheques- for every need, there can be one:
  • While the simplicity of Python makes it the number one preference for many, its extremely good library series makes it even extra tempting to specialists withinside the records sciences. Over the years, the addition of libraries that in addition make bigger its competencies has enriched Python.
    • You are confident you may find out such severa libraries tailor-made to meet your records technological records requirements.
    • In the arena of records technological records, NumPy is one of the early libraries.
    • It has excessive-degree arithmetic functions going for walks on multi-dimensional arrays and matrices and is proper for scientific computation.
    • It includes all of the gadgets favored for numerical integration and successful scientific records processing.
    • Matplotlib is a 2D-plotting package deal that includes all of the systems required for records visualization.
    • Scikit-Learn and PyBrain are tools for gaining knowledge of libraries that provide modules for building neural networks.
    • Other libraries include SymPy (statistical programs); Shogun, PyLearn2, and PyMC (tool gaining knowledge of); Bokeh, g plot, Plotly, plot lib, and seaborn (records visualization and plotting); and CSV.package deal, PyTables, and SQLite3 (records processing and storage), to mention some.
    3. An Approach To Multiparadigm:
    • A proper characteristic about Python is that its miles a multi-paradigm programming language, withinside the place of OOP languages.
    • For example, you could want to accumulate a separate OO beauty in Java to print 'Hello World,' however, you do no longer want to collect this in Python.
    • Python offers functional, procedural, and item-based today's programming further to aspect-driven approaches, with a multi-paradigm method.
    • 4. Integration Of Enterprise Software Program (EAI):
    • Python is a terrific platform for the combination of enterprise programs (EAI).
    • As already said, even in specific programming languages, Python is strongly included in programs.
    • This makes the net development tool lots a whole lot much less complex to mix with specific languages.
    • You also can add, for example, invoke components of CORBA/COM and get in touch with Java, C++, and C code immediately and immediately.
    • Python's wonderful Java, C, and C++ interoperability make it a terrific software program software utility scripting solution.
    • A python is also a beneficial tool for software program software utility software program software locating out because of its robust text processing and integration competencies.
    • It includes its unit locating out the framework and might moreover be used to create complex GUI laptop apps.
    • 5. The Jupyter Record is the fifth element on the listing:
    • It is a free and open-deliver online tool that we have to programmers jot down expressive code.
    • The Jupyter Notebook is a useful tool for Data Science and Machine Learning.
    • It helps you to offer your findings and integrate the outcomes (visualizations) withinside the identical report as your code.
    • The Jupyter Notebook is one of the numerous services furnished via the Google Colaboratory that helps you to observe free cloud services and excessive-not unusual place primary basic overall performance GPUs for taking walks the Jupyter Notebook.
    • You also can moreover maintain your records and notes in your Google Drive as Google Colab is synchronized seamlessly with Google Drive programs.
    • 6. There Is Commonly A Person To Depend On Withinside The Network:
    • The Python community will usually be there for you, for better or for worse. There is not any difficulty, problem, or query that Python fans and volunteers will no longer repair or answer.
    • One of the most admirable tendencies of open-deliver companies is that they'll be constantly open to discussion.
    • To summarise, Python has been installed to be a game-changer withinside the region of records technological records.
    • It is so complete with precious systems and skills that it is the number one preference of many Data Scientists and Data Analysts all around the world.
    • While we are great that the arguments listed above are sufficient to demonstrate the benefits of Python for Data Science.

    Pay scale for Data science with python :

    The average earnings for an information person, IT with Python skills is 610K rupees. Visit PayScale to analyze the knowledge of a person, its salaries by town, experience, skill, leader, and a lot of.

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    Key Features

    ACTE Kolkata offers Data Science with Python 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 .
     

    Curriculum

    Syllabus of Data Science with Python Course in Kolkata
    Module 1: Introduction to Data Science
    • What is Data Science?
    • What is Machine Learning?
    • What is Deep Learning?
    • What is AI?
    • Data Analytics & it’s types
    Module 2: Introduction to Python
    • What is Python?
    • Why Python?
    • Installing Python
    • Python IDEs
    • Jupyter Notebook Overview
    Module 3: Python Basics
    • Python Basic Data types
    • Lists
    • Slicing
    • IF statements
    • Loops
    • Dictionaries
    • Tuples
    • Functions
    • Array
    • Selection by position & Labels
    Module 4: Python Packages
    • Pandas
    • Numpy
    • Sci-kit Learn
    • Mat-plot library
    Module 5: Importing data
    • Reading CSV files
    • Saving in Python data
    • Loading Python data objects
    • Writing data to csv file
    Module 6: Manipulating Data
    • Selecting rows/observations
    • Rounding Number
    • Selecting columns/fields
    • Merging data
    • Data aggregation
    • Data munging techniques
    Module 7: Statistics Basics
    • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
    • Normal Distribution
    • Probability Basics
    • What does mean by probability?
    • Types of Probability
    • ODDS Ratio?
    • Standard Deviation
    • Data deviation & distribution
    • Variance
    • Bias variance Trade off
    • Underfitting
    • Overfitting
    • Distance metrics
    • Euclidean Distance
    • Manhattan Distance
    • Outlier analysis
    • What is an Outlier?
    • Inter Quartile Range
    • Box & whisker plot
    • Upper Whisker
    • Lower Whisker
    • catter plot
    • Cook’s Distance
    • Missing Value treatments
    • What is a NA?
    • Central Imputation
    • KNN imputation
    • Dummification
    • Correlation
    • Pearson correlation
    • Positive & Negative correlation
    • Error Metrics
    • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score
    • Regression
    • MSE
    • RMSE
    • MAPE
    Module 8: Machine Learning Module 9: Supervised Learning
    • Linear Regression
    • Linear Equation
    • Slope<
    • Intercept
    • R square value
    • Logistic regression
    • ODDS ratio
    • Probability of success
    • Probability of failure
    • ROC curve
    • Bias Variance Tradeoff
    Module 10: Unsupervised Learning
    • K-Means
    • K-Means ++
    • Hierarchical Clustering
    Module 11: Other Machine Learning algorithms
    • K – Nearest Neighbour
    • Naïve Bayes Classifier
    • Decision Tree – CART
    • Decision Tree – C50
    • Random Forest
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    Need customized curriculum?

    Hands-on Real Time Data Science with Python Projects

    Project 1
    Speech Emotion Recognition project.

    SER aims to recognize the underlying emotional state of a speaker from her voice choice of a good emotional speech database, extracting effective features.

    Project 2
    Parkinson's Disease Detection Project.

    There is a rapidly growing interest in the quantitative assessment of Parkinson's disease associated signs and disability using wearable technology, Both persons with PD.

    Project 3
    Color Detection with Python.

    In this color detection Python project, you are going to build an application through which you can automatically get the name of the color by clicking on them.

    Project 4
    Sentiment Analysis Project.

    Sentiment analysis is the procedure by which information is extracted from the opinions, appraisals and emotions of people in regards to entities, events and their attributes.

    Our Engaging Placement Partners

    ACTE Kolkata offers placement opportunities is meant to provide applicants with hands-on Data Science with Python training in the classroom or online to assist them gain industry exposure in understanding Data Science with Python platforms, techniques, and applications in order to construct and execute effective Coding campaigns.
    • Applicants will be chosen based on an employee reference or through the company's internal recruiting procedure, according to Placement Tutors.
    • As a one-stop shop, we provide excellent service to both job seekers and top-level placement recruiters.
    • To teach our Learners how to write an excellent CV, we conduct mock interviews and hold formal workshops.
    • We have a placement team that places our candidates in big companies like DELL, PAYPAL, INTEL, IBM, AMAZON, and others.
    • Including this Professional Accomplishment Placement Data Science with Python Certificate on your interview resume has a significant impact and increases the credibility of your CV at Top firms.
    • -Candidates will be provided with a detailed schedule as well as reminders for their mock tests so that they do not forget.

    Get Certified By Data Science With Python & 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

    Our Efficient Data Science with Python Trainers

    • Our Data Science with Python instructors start from the beginning to ensure that by the end of the course, the students are proficient in the same industry.
    • The trainers are highly qualified and will ensure that you fully comprehend the topics presented because they have a combined experience of more than 8 years.
    • In order to provide our applicants with a world-class learning environment, we assist our trainers in staying up to date on the most recent advances in teaching, research, and technology.
    • Several major awards for Data Science with Python Training in Kolkata have been given to us by well-known IT companies.
    • Our instructors have created an in-depth Data Science with Python course to match the employment needs and criteria of our applicants.
    • Our instructors help applicants create a professional CV and boost their confidence by giving them valuable insight into interview questions and putting them through mock interviews.

    Data Science with Python Course FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 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 .
    • The entire Data Science with Python 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 Data Science with Python Course At ACTE?

    • Data Science with Python Course in ACTE is designed & conducted by Data Science with Python experts with 10+ years of experience in the Data Science with Python 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 project experience, job support, and lifetime resources.
    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 Data Science with Python batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in Data Science with 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 76691 00251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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