Data Science with Python Training in Hyderabad | Best [UPDATED] Course
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Data Science with Python Training in Hyderabad

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23- JUN- 2021
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  • 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 Data Science with Python and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
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  • 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 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

This interactive and comprehensive course may be an excellent place for you to start on the Python programming language and its use in information Science. This Data Science with Python course aims at serving to you perceive the core ideas of Data science together with alpha data science, statistics, hypothesis testing, regression classification modeling techniques, data visualization, and machine learning algorithms. work from experts and lots of active exercises can make sure that you're industry-ready by the tip of this workshop.
After completing this Data Science with Python Certification course, you will be able to:
  • Download and analyze data programmatically
  • Learn how to deal with various types of data – ordinal, categorical, and encoding.
  • Learn about data visualization.
  • Master the art of presenting step-by-step data analysis using I python notebooks.
  • Learn about the 'Roles' that a Machine Learning Engineer plays.
  • Explain Machine Learning
  • Utilize real-time data.
  • Discover predictive modeling tools and techniques.
The curriculum is designed to accommodate people with varying degrees of Data Science experience. The course covers all you need to know about Data Science, from the fundamentals to advanced concepts, whether you're a beginner or a seasoned veteran. The course uses an applied learning approach with instructor-led instruction, hands-on exercises, projects, and activities to encourage the acquisition of immediately usable skills.
The fundamental understanding of computer programming languages is one of the prerequisites for the Python Data Science course. Fundamentals of Data Analysis applied with any data analysis program, such as SAS/R, will be beneficial. When you sign up for the Data Science with Python certification course, you will receive a free self-paced course called "Python Statistics for Data Science."
Data Science has been among the top-paying jobs for the past many years. The increase of big data and therefore the use of analytics to service business growth has created it among the foremost in-demand jobs in enterprises and data scientists, a revered category of pros. Begin your path to changing into an information mortal, using the ability of Python. Analyze data, produce stunning visualizations, and use powerful machine learning algorithms to convert your data into significant statistics that may help organizations' successful business outcomes.
Python has quickly become the go-to language within the Data science house and is among the primary things recruiters look for in an exceeding information scientist's ability set. It systematically ranks high in international Data science surveys and its widespread quality can only persevere increasing within the returning years. Over the years, with robust community support, this language has obtained an eager library for data analysis and predictive modeling.
In just a few weeks, you'll be able to master Python for Data Science. Python can be learned quickly and easily with the correct training. Getting educated by a Python for Data Science professional can help you shorten your learning curve and improve your learning experience. To help you upskill faster and easier, Python for Data Science course blends an Immersive Learning methodology with live, interactive sessions conducted by renowned practitioners. Actual projects, real-world case studies, hands-on exercises, and more are used to empower you with in-demand Python skills.

By the completion of this Python for Data Science course, what can I anticipate to have learned?

Python programmers are in high demand, and you should be able to find work as a Python developer or data science expert at the end of this course. You would have learned how to leverage data science approaches and the Python programming language to create data-driven applications and produce reusable, tested, and efficient code.

Do I need to learn coding to learn Python with Data Science?

If you've never programmed before, learning a brand new language might be intimidating. Python is a basic language with no complicated syntax, and learning Python comes naturally. To create with Python, you don't need to know how to code. This is a beginner's course. We'll start with the basics and work our way up to performing arts data analysis problems in Python.

Who should enroll in a Python for Data Science class?

Our Data Science Course is open to the following individuals:
  • Those interested in learning the fundamentals of data science.
  • Those who are new to Python and want to upskill with a more sophisticated, structured learning program.
  • Data Scientists or Software Engineers are interested in learning Python.

What key skills are used in Data Science with Python training courses?

  • Visualization of data
  • Data Exploration and Analysis
  • Manipulation & Data Mixing
  • Modeling and Statistical Analysis
  • Modeling Predictive
  • Python is used to analyze data

Why Python and how prevalent is it for Data Science?

Python has fast become the go-to language in the data science world, and it's one of the first skills that recruiters look for in a top data scientist. It consistently scores highly in international Data science surveys, and its ubiquitous quality can only continue to improve in the next years. This language has amassed an enthusiastic library for data analysis and predictive modeling over the years, thanks to strong community support.
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Overview of Data science With Python Training in Hyderabad

Python is an important expertise for many positions in the field of data science. Knowledge acquisition at Python is the key to your profession as a data scientist. For several years, data science has been one of the highest-paid careers. The proliferation of large data and the use of analytics for company growth has made Big Data a renowned class of experts, one of the most demanded occupations in companies and data scientists. Start your quest by leveraging the power of Python to become a data scientist.

Analyze data, generate great views, and use powerful machine learning algorithms to turn your data into useful statistics to help businesses accomplish results. You can grasp the principles of Python programming in Data science With Python Training in Hyderabad. You will obtain know-how in data analysis, machine learning, data visualization, web scraping, and the processing of natural languages with this Python training. Once you have completed your course, you will master Python's key data science tools.

Additional Info

What is Data Science with Python?

Data Science could be a mix of varied tools, algorithms, and machine learning principles to find hidden patterns from the data. However, A Data Analyst typically explains what's occurring by the process history of the information. On the other hand, a knowledge man of science will not solely use the preliminary analysis to find insights from it, however conjointly uses numerous advanced machine learning algorithms to spot the incidence of a selected event within the future. A knowledge man of science can cross-check the information from several angles, typically angles not glorious earlier. So, knowledge Science is primarily accustomed to create selections and predictions creating use of prophetical causative analytics, prescriptive analytics (predictive and call science), and machine learning.

Data science is an associate degree knowledge domain field that uses scientific ways, processes, algorithms, and systems to extract information and insights from structured and unstructured knowledge, and apply information and unjust insights from knowledge across a broad variety of application domains. Knowledge science is expounded to data processing, machine learning, and large amounts of knowledge. Data science could be a "concept to unify statistics, knowledge analysis, IP, and their connected methods" to "understand and analyze actual phenomena" with knowledge. It uses techniques and theories drawn from several fields inside the context of arithmetic, statistics, engineering science, science, and domain information.

Why we use Data Science with Python :

Predictive causative analytics : If you would like a model which will predict the chances of a selected event within the future, you would like to use prognostication causative analytics. Say, if you're providing cash on credit, then the likelihood of shoppers creating future credit payments on time may be a matter of concern for you. Here, you'll build a model which will perform prognostication analytics on the payment history of the client to predict if the longer-term payments are going to be on time or not.

Prescriptive analytics : If you would like a model that has the intelligence of taking its own choices and therefore the ability to switch it with dynamic parameters, you definitely would like prescriptive analytics for it. This comparatively new field is all concerning providing the recommendation. In different terms, it not solely predicts, however, suggests a variety of prescribed actions and associated outcomes.

The best example for this can be Google’s self-driving automotive that I had mentioned earlier too. The info gathered by vehicles is wont to train self-driving cars. you'll run algorithms on this information to bring intelligence thereto. This can change your automotive to require choices like once to show, that path to require, once to block or speed up.

Machine learning for creating predictions : If you have got transactional information of a non-depository financial institution and wish to make a model see the longer-term trend, then machine learning algorithms square measure the simplest bet. it's called supervised as a result of you have already got the info supported that you'll train your machines. For instance, a fraud detection model is trained to employ a history of dishonorable purchases.

)Machine learning for pattern discovery : If you don’t have the parameters supported that you'll build predictions, then you would like to search out the hidden patterns among the dataset to be ready to build pregnant predictions. This can be nothing however the unsupervised model as you don’t have any predefined labels for grouping. The foremost common rule used for pattern discovery is agglomeration. Let’s say you're operating in an exceedingly public-service corporation and you would like to determine a network by golf shot towers in an exceedingly large region. Then, you'll use the agglomeration technique to search out those tower locations which can make sure that all the users receive optimum signal strength.


Roles and Responsibilities of Data science with Python :

1. Collaboration :

The role of the information portal isn't solitary and during this position, he collaborates with superior information scientists to speak about obstacles and findings to relevant stakeholders in a shot to reinforce drive business performance and decision-making.

2. Analytics :

The information mortal represents a scientific role wherever he plans, implements, and assesses high-level applied math models and methods for application within the business’s most complicated problems. The information mortal develops economic science and applied math models for numerous issues as well as projections, classification, clustering, pattern analysis, sampling, simulations, and so forth.

3. Management :

The information mortal plays an insignificant social control role wherever he supports the development of the bottom of the art movement and technical talents among the information and Analytics field to help numerous planned and continued data analytics come.

4. Strategy/Design :

The information mortal performs a significant role within the advancement of innovative ways to grasp the business’s shopper trends and management also as ways in which to address troublesome business issues, as an example, the optimization of product fulfillment and whole profit.


Skills required for Data Science with Python :

    Fundamentals of Information Science :

    As a newcomer in knowledge science, I did what everybody around ME did – started applying machine learning techniques like regression toward the mean and SVM while not even understanding the fundamentals. I think it’s all a fault of the generic “Build your machine learning model in five Lines of code” however this can be miles far from reality. The first and foremost necessary talent you need is to grasp the basics of information science, machine learning, and computer science as a whole. perceive topics like :

  • Difference between machine learning and deep learning.
  • Difference between knowledge science, business analytics, and knowledge engineering.
  • Common tools and terminologies.
  • What is supervised and unattended Learning.
  • Classification vs regression issues.
  • Statistics and chance :

    When you begin learning to write sentences, you need to be at home with synchronic linguistics to make the proper sentences equally. Statistics is a necessary construct before you'll be able to manufacture high-quality models. Machine Learning starts as statistics then advances. Even the construct of regression toward the mean is AN antique applied math analysis construct.

    The data of the construct of descriptive statistics like mean, median, mode, variance, the quality deviation may be a should. Then return the varied chance distributions, sample and population, CLT, lopsidedness and kurtosis, inferential statistics – hypothesis testing, confidence intervals, and so on.

    Data Manipulation and Analysis :

    Data manipulation or haggling is the step during which you clean the information and remodel it into a format that may be analyzed higher within the next stages. Let’s take the instance of packing your baggage. What is going to happen if you throw all of your garments into your bag? you may save several minutes however it’s not economical thanks to having it away and your garments also will get spoiled. Instead, you'll be able to pay some minutes of ironing and golf stroke them in stacks. can|it'll} be far more economical and your garments will stay in fitness.

    Similarly, knowledge manipulation and haggling take up a great deal of your time however ultimately assist you in taking higher data-driven selections. a number of the information manipulation and haggling usually applied is – missing worth imputation, outlier treatment, correcting knowledge sorts, scaling, and transformation.

    Data visual image :

    To be honest, this can be one of the foremost fun components of machine learning, knowledge visual image is additional like AN art than a hard-wired step. A knowledgeable visual image expert is aware of the way to build a story out of the visualizations.

    To start with you need to be at home with plots like bar charts, Bar charts, pie charts, then pass on to advanced charts like water charts, measuring instrument charts, etc. These plots are available handy throughout the stage of exploratory knowledge analysis. The univariate and quantity analyses become abundant easier to grasp mistreatment colorful charts.

    Machine Learning :

    For a knowledgeable person, machine learning is that the core talent to own. Machine learning is employed to make prognostic models. For instance, you would like to predict the number of consumers you may have within the next month by viewing the past month’s knowledge, you may have to be compelled to use machine learning algorithms.


Tools of Data science with Python :

1. Data Acquisition and Data Cleansing Tools :

Collecting knowledge from its raw format into smart and helpful knowledge for business users and organizations could be a massive challenge for data-driven corporations performing large volumes of information. ETL tools solve this issue of gathering knowledge from completely different sources and changing the information into an evident format for any analysis. ETL tools begin the method by extracting the information from underlying sources, followed by remodeling the information to an information model and eventually loading the information to the target destination.

2.IBM Data camp :

The tool is accountable for feat documents, extracting helpful info, and feeding the documents into different business processes downstream. It will perform these tasks with a high degree of automation, flexibility, and accuracy.

3. Mozenda :

Mozenda is an Associate in Nursing enterprise cloud-based web-scraping platform. It helps corporations collect and organize net knowledge most efficiently and cost-effectively. The tool incorporates a point-to-click interface and easy UI. The tool has 2 parts- Associate in Nursing application to create the information extraction project and net Console to run agents, organize results, and export knowledge. It's simple to integrate and permits users to publish leads in CSV, TSV, XML, or JSON format. The tool additionally provides API access to fetch knowledge and has inherent storage integrations like FTP, Amazon S3, Dropbox, and more.

4. Octoparse :

Octoparse is a client-side net scraping software system for Windows. It's a web-scraping guide that turns unstructured or semi-structured knowledge from websites into a structured knowledge set while not committal to writing. It's helpful for people that don't seem to be well versed in programming. An online scraping guide could be a straightforward nonetheless powerful feature. Its purpose is to input the target website/keywords within the parameters on the pre-formatted tasks, therefore the user doesn’t need to set up any scraping rules nor write code.

5. OnBase :

Is a tool developed by Hoyland, could be a single enterprise info platform that's designed to manage user’s content, processes, and cases. The tool principally centralizes user’s business content during a secure location then delivers relevant info to the user after they would like it. OnBase permits the organization to become additional agile, efficient, and capable, thereby increasing productivity, delivering wonderful client service, and cutting back risk across their enterprise.


Frameworks of Data science :

  • TensorFlow is AN ASCII text file machine learning library developed at Google for numerical computation victimization knowledge flow graphs is arguably one amongst the simplest, with Gmail, Uber, Airbnb, Nvidia, and plenty of different outstanding brands victimizing it. It’s handy for making and experimenting with deep learning architectures, and its formulation is convenient for knowledge integration like inputting graphs, SQL tables, and pictures.
  • Scikit-learn could be a very fashionable ASCII text file machine learning library for the Python artificial language. With constant updates within the product for potency enhancements including the fact that its ASCII text file makes it a go-to framework for machine learning within the trade.
  • Keras is AN ASCII text file neural network library written in Python. It's capable of running on prime of different standard lower-level libraries like Tensorflow, Theano & CNTK. This one may well be your new ally if you've got loads of knowledge and/or you’re when the progressive in AI: deep learning.

Benefits of Data science :

Advantages and downsides of information Science

In today’s world, knowledge is being generated at an associate horrifying rate. Every day, countless knowledge is generated by the users of Facebook or other social media, or from the calls that one makes, or the info that is being generated from completely different organizations in addition. Thus, to grasp and manage this quantity of information, knowledge science is employed. Data Science could be a combination of the following skills: arithmetic experience, business/strategy acumen, and technology and hacking skills. It helps North American countries in analyzing, understanding, process and extracting {the information|the knowledge|the knowledge} from the structured in addition to unstructured data for any use.

Advantages and downsides of information Science In today’s world, knowledge is being generated at an associate horrifying rate. Every day, countless knowledge is generated by the users of Facebook or the other social media, or from the calls that one makes, or the info that is being generated from completely different organizations in addition. How to handle or use such an implausible quantity of information has become a priority for folks all around the world. thus, to grasp and manage this quantity of information, knowledge science is employed.

These folks have smart mathematical and business acumen talents that facilitate them to research knowledge. However, knowledge scientists play an important role in serving to style and develop merchandise. Their task is to research knowledge and build algorithms, take a look at and refine them and at last deploy them into the assembly system. The analysts, on the opposite hand, play different types of roles, be it that of a securities analyst or a promoting analyst or some.


Want to be taught a knowledge science Course. It has some blessings, many points square measure listed below :

1. Data Science helps organizations know however and once their merchandise sells best and that’s why the merchandise square measure is delivered perpetually to the proper place and right time.

2. Faster and higher selections square the measure taken by the organization to enhance potency and earn higher profits.

3. It helps the promoting and sales team of organizations in understanding by processing and distinguishing the target market.


Certification of Data science :

  • Impress employers and augment your knowledge of Science skills with a certification supported by one of the most effective firms within the business - a world leader in Analytics and AI.
  • Extensive career preparation is via resume building sessions and mock interviews with business veterans, at the side of leads and references bound to assist you to land your dream job.
  • Data Science Courses Certification may be a short-run course that helps in either enhancing the specified skills for knowledge Science or understanding the fundamentals of knowledge Science courses. Knowledge Science Courses Certification is obtainable each online still as offline.

Payscale for Data science :

An entry-level information mortal, IT with but one year of expertise will expect to earn a mean total compensation (includes tips, bonus, and overtime pay) of 573K supported thirty-eight salaries. AN early career information mortal, IT with 1-4 years of expertise earns a mean total compensation of 606K supported by thirty-five salaries.

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Key Features

ACTE Hyderabad 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 and National Institute of Education (nie) Singapore.
 

Curriculum

Syllabus of Data Science with Python Course in Hyderabad
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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Hands-on Real Time Data Science with Python Projects

Project 1
All State Insurance Purchase Prediction

Predict the car insurance policy a customer buys after receiving a number of quotes.

Project 2
Barclays

This Project is use to identify credit risk and fraud detection.

Our Best Hiring Placement Partners

ACTE Hyderabad offers arrangement openings as extra to each understudy/proficient who finished our study hall or internet preparing. A portion of our understudies are working in these organizations recorded underneath
  • 100% work plan for the right applicants absolutely an undertaking arranged Data Science with Python, which covers the specific advancement starting from the very crucial and walk around the significant level.
  • We will design Mock tests and Mock gatherings to find the opening in candidate data.
  • 70% of the instructional class is concealed and we will help justifying up-and-comers in finding the steady employments.
  • Built in help, educational arrangement that helps you with ruling programming capacities in this troublesome and accelerated course.
  • Our circumstance bunch collaborates with over 600+ associates. Our placement plan specialists work with the total of our productive learners and firms like as HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, HDFC, AMAZON, PAYPAL, and others from one side.
  • We offers an alternate applicants entryway for course of action with free induction to look at material.

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.

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About Skillful Data Science with Python  Instructor

  • Our Data Science with Python Training in Hyderabad. We give getting ready until less fatty get put . If less fatty capacities are absent and unsuitable to follow the developments in light of some clarification , we will give novel thought and bring you upto the engraving.
  • They are skilled experts in passing on quality planning on execution thoughts of Data Science with Python.
  • Special thought is given to each applicants to get benefited with the arrangement.
  • Building up specialists by significantly experienced specialists guide to the learners.
  • To test your knowledge on Data Science with Python Training , you will be expected to work on two industry-based exercises that inspect colossal ceaseless use cases to the Learners. This will moreover ensure dynamic capacity in Data Science with Python Training and Course thoughts.
  • Latest interpretation Data Science with Python Training accounts guaranteed and Complete plan of chronicles like live online gatherings to the applicants.

Data Science with Python Course Reviews

Our ACTE Hyderabad Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

Vijaya

Data Analyst

If you're looking for an institute which teaches everything from the basics to the core, this ACTE is the right place for you. Highly efficient staff and management team. Great for Data Science with Python, Data analytics and Big data courses. And I am thankful to the team for their support and guidance. Highly recommended.

Muruga Doss

Student

ACTE is one of the best institute for Data Science with Python course which is located in Hyderabad and the training which they provide is very good and they make it easy to learn.they will clear all your doubts as soon as possible.classes will be scheduled on time and trainers are very punctual.

Vinoth

Software Engineer

Ive completed my Data Science with Python course from ACTE where Ive experienced a good faculty and teaching way in a knowledgable manner. I would suggest each and everyone who are aspiring for data scientists or data analytics to join in ACTE and gain good knowledge at the centre of city Velachery, Chennai.

Varalakshmi

One of the best place to learn Data Science with Python Course Training in Omr. Friendly Environment.Great course for the people who are looking for a better career.This course covers the Data Science with Python knowledge.

Nandhini

Student

ACTE is the best place to kick start Data Science with Python and other Data Science courses in Anna Nagar. Their guidence is good and at the same time providing better lab practice.Which helps you make informed predictions and assure you to move forward,Honestly, I would definitely recommend this place for Data Science with Python, Data Analytics using R,Big Data,Machine Learning,Business Analytics..

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Data Science with Python Course FAQs

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  • More than 3500+ students placed in last year in India & Globally
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  • 85% percent placement record
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ACTE
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    • 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 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 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 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 93800 99996 / 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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