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DATA SCIENCEData Science With Python Training
DATA SCIENCE Data Science With Python Training in Andorra

Data Science With Python Bootcamp Training in Andorra

Data Science With Python Bootcamp Training in Andorra

The Most Comprehensive Certification Course for Guaranteed Career Success

30K+ Enrolled

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The Data Science With Python training program is all about introducing individuals to Data Science using the Python programming language. This course is highly suggested for candidates who have basic programming or Python-based background and therefore want to venture into the world of Machine Learning, statistics, text analysis, information visualization and so on in Andorra.

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Course Overview

There's no denying that data is the primary component of the 21st century’s digital economy, which is the reason why Data Science has been ranked as one of the most coveted professions in this generation. It doesn’t matter whether a candidate is new at his or her work or planning to upgrade his or her skills, this Data Science With Python course is directly aimed at professionals to prepare their career in Machine Learning & Data Science. The training program will kick off by learning Python, which is the most popular language specifically made for Data Science. Learning Python will help in the development of the required skills necessary for data visualization and analysis, while also forming a basic understanding of Machine Learning. Once done, the candidate can showcase his or her knowledge of Machine Learning & Data Science in solving a real-life business problem. With the help of this training program, individuals can now develop their analytical and data skills to launch their career in Data Science.

There's no denying that data is the primary component of the 21st century’s digital economy, which is the reason why Data Science has been ranked as one of the most coveted professions in this generation. It doesn’t matter whether a candidate is new at his or her work or planning to upgrade his or her skills, this Data Science With Python course is directly aimed at professionals to prepare their career in Machine Learning & Data Science. The training program will kick off by learning Python, which is the most popular language specifically made for Data Science. Learning Python will help in the development of the required skills necessary for data visualization and analysis, while also forming a basic understanding of Machine Learning. Once done, the candidate can showcase his or her knowledge of Machine Learning & Data Science in solving a real-life business problem. With the help of this training program, individuals can now develop their analytical and data skills to launch their career in Data Science.

Key Features

  • Enjoy a practical, hands-on approach in addressing and simplifying some of the complex Python problems
  • Ability to explore in-depth discussions and doubt clearing sessions with the trainers as well as other candidates
  • Opportunity to learn from some of the best experts in the field of Python & Data Science
  • Obtain a strong background in the most vital Data Science techniques.
  • Learn the real-world applications of Data Science & Machine Learning.
  • Experience interactive training sessions with flexible timing schedules.
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  • Maldives (+960)
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  • Montenegro (+382)
  • Myanmar (+95)
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  • Netherlands (+31)
  • New Zealand (+64)
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  • North Korea (+850)
  • Northern Ireland (+44)
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  • Pakistan (+92)
  • Panama (+507)
  • Papua New Guinea (+675)
  • Paraguay (+595)
  • Peru (+51)
  • Philippines (+63)
  • Poland (+48)
  • Portugal (+351)
  • Qatar (+974)
  • Reunion (+262)
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  • San Marino (+378)
  • Saudi Arabia (+966)
  • Senegal (+221)
  • Serbia (+381)
  • Singapore (+65)
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  • Somalia (+252)
  • South Africa (+27)
  • South Korea (+82)
  • South Sudan (+211)
  • Spain (+34)
  • Sri Lanka (+94)
  • Sudan (+249)
  • Sweden (+46)
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  • syria (+963)
  • Taiwan (+886)
  • Tanzani (+255)
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Course Overview

Course Overview

There's no denying that data is the primary component of the 21st century’s digital economy, which is the reason why Data Science has been ranked as one of the most coveted professions in this generation. It doesn’t matter whether a candidate is new at his or her work or planning to upgrade his or her skills, this Data Science With Python course is directly aimed at professionals to prepare their career in Machine Learning & Data Science. The training program will kick off by learning Python, which is the most popular language specifically made for Data Science. Learning Python will help in the development of the required skills necessary for data visualization and analysis, while also forming a basic understanding of Machine Learning. Once done, the candidate can showcase his or her knowledge of Machine Learning & Data Science in solving a real-life business problem. With the help of this training program, individuals can now develop their analytical and data skills to launch their career in Data Science.

Data Science With Python Training Highlights

Key Features

Enjoy a practical, hands-on approach in addressing and simplifying some of the complex Python problems

Ability to explore in-depth discussions and doubt clearing sessions with the trainers as well as other candidates

Opportunity to learn from some of the best experts in the field of Python & Data Science

Obtain a strong background in the most vital Data Science techniques.

Learn the real-world applications of Data Science & Machine Learning.

Experience interactive training sessions with flexible timing schedules.

View SchedulesContact Course Advisor

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Data Science With Python Practice Test Series

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Curriculum

Data Science With Python Bootcamp in Andorra

COURSE Curriculum

Data Science With Python Bootcamp in Andorra

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  • Introduction to Data Science in Python boot camp
  • Introduction to Python prerequisites for Data Science
  • Introduction to NumPy
  • Introduction to Pandas
  • Data preprocessing/Wrangling
  • Introduction to Data Visualization
  • Statistical Data Analysis-basic
  • Statistical inference and relationship between Variables
  • Machine Learning for Data Science
  • Unsupervised learning in Python
  • Supervised learning
  • Artificial Neural Networks and Deep Learning

  • Data Science Introduction
  • Data Science Project Lifecycle – CRISP-DM Model
  • Data Science Toolkit
  • Job outlook
  • Prerequisite& Target Audience

  • Introduction to Python, Anaconda, Spyder & Jupyter Notebook
  • Installation & Configuration
  • Basic Python Programming Concepts
  • Data Structures in Python
    • List
    • Tuples
    • Dictionary

  • NumPy Array & it’s applications
  • Control Structures
  • Creating Custom Functions
  • Exception Handling

  • Random Variable
  • Type of Random variables
    • Discrete & Continuous
    • Nominal
    • Ordinal
    • Interval
    • Ratio
  • Central Tendencies
    • Mean
    • Mode
    • Median
  • Measurement of dispersion
    • Variance
    • Standard Deviation
  • Basic Statistics using NumPy

  • Introduction to Probability Theory
  • Probability Distribution Analysis
  • Probability Mass Function
  • Probability Density Function
  • Normal Distribution
  • Standard Normal Distribution
  • Covariance & Correlation

  • Pandas dataframes & its applications
  • Importing tables from RDBMS
  • Analytics & Data Visualization using Matplotlib
  • Univariate & Bivariate Statistical Analysis using Matplotlib
    • Line Plot
    • Area Plot
    • Histogram
    • Box Plot
    • Scatter Plot

  • Sampling Analysis
  • Inferential Statistics
  • Sampling Distribution
  • Central Limit Theorem
  • Hypothesis Testing
  • 1 tail test and 2 tail test
  • Type I and Type II errors
  • P value
  • Level of Significance
  • Confidence Interval

  • Statistical Analysis using Seaborn
    • KDE Plot
    • RegPlot
    • Joint Plot
    • Heatmap
  • Data Sampling
  • Simulating Normal Distribution
  • Calculating PDF & CDF
  • Hypothesis Testing – Case Study

  • Introduction to Machine Learning
  • Estimation Function
  • Reducible & Irreducible errors
  • Supervised & Unsupervised
  • ML Algorithms ML Model Training & Testing
  • Parametric & Non- Parametric Algorithms
  • Regression Analysis
    • Simple Linear Regression
    • Multiple Linear Regression
  • Linear Regression methods
    • Ordinary Least Square
    • R Squared method
    • Adjusted R Square
  • Regression Evaluation Metrics – MSE, RMSE
  • Bias & Variance
  • Model Under fitting and Overfitting

  • Feature Engineering
  • Null Data Imputation Techniques
  • Outlier Analysis
  • Categorical Encoding
    • Label Encoding
    • One Hot Encoding
  • Feature Selection Techniques
    • Correlation Analysis
    • Chi Square Test
  • Machine Learning Case Study 1 – Multiple Linear Regression

  • Logistic Regression
    • Simple Logistic Regression
    • Multiple Logistic Regression
  • Logistic Regression Function
  • ROC AUC Analysis
  • Model Evaluation using Confusion Metrix
  • Accuracy, Precision, Recall & Specificity
  • Machine Learning Case Study 2– Multiple Logistic Regression

  • Feature Scaling
  • Addressing Imbalanced Data using SMOTE/MSMOTE
  • Model Cross Validation using K- Fold Cross Validation Classification Analysis
  • K Nearest Neighbor Classifier
  • Decision Trees
    • Classification and Regression Tree
  • Random Forest
  • Information Gain & Entropy
  • Machine Learning Case Study 3 – Classification Analysis using KNN,
  • Decision Tree & Random Forest

  • Clustering Algorithms
    • K Means Clustering
    • Hierarchical Clustering
  • Elbow Curve Graph
  • Machine Learning Case Study 4 – Clustering Analysis using K-Means
  • Clustering

  • Recommendation Engines
  • Collaborative Filtering & Types
  • Machine Learning Case Study 5 – Recommendation Engine using
  • Collaborative filtering
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Simpliaxis provides In person and live virtual instructor- led corporate training program customized for enterprise teams who wish to train their employees on specific aspects of their job processes or responsibilities. The corporate training by our expert certified trainers will enhance your learning curve and enable your teams to utilize their skills to meet the industry standards

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Our Data Science With Python Training Trainers

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects. Candidates are free to ask any questions at any time.

  • More than 15+ Years of Experience.
  • Trained more than 5000+students.
  • Experience in Training Global Students.
  • Strong Theoretical & Practical Knowledge.
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  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Trainers have Experienced in multiple real-time projects in their Industries.
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Data Science With Python Course FAQs

Frequently Asked Questions

A data scientist is an individual who is responsible for performing operations on the data provided so that the same could be analyzed and interpreted in a meaningful way.

There are no such prerequisites in place to undertake the Data Science With Python certification course.

  • Obtain an advanced knowledge of Data Science and the methods to use it in real-life applications.
  • Understanding the probability & statistics of Data Science.
  • Learn about data mining, data collection and Machine Learning.
  • Ability to master Python along with its libraries.

The examination process will be conducted within the training schedule, so candidates don’t need to worry regarding additional exams after the certification training.

Attaining the Data Science With Python course certification is easy as individuals need to first purchase the course using our online website. Once the course has been purchased, candidates are required to attend the training sessions using the supplied study materials. After the training is completed with additional course examinations, certification will be offered to the individual.

Enrol in the course today to attend 40 hours of online, live, expert-led training.

Simpliaxis’s Data Science with Python Course imparts in-depth knowledge of machine learning & data science, along with their uses in Python. You’ll learn how to use machine learning algorithms to automate real-world scenarios.

The course is a lucrative option for Developers, Architects, Programmers, and Technical Leads. It will benefit professionals willing to create automatic predictive models, Information Architects willing to master Predictive Analytics, Business Analysts eager to gain an overview of Machine Learning Techniques, and Analytical Managers at the forefront of an analyst team.

Learners should have a high school diploma or an undergraduate degree. Additionally, a basic knowledge of Computer Programming Languages is helpful.

Python is one of the most in-demand programming languages. It is easy to use and learn while featuring powerful libraries that help in data analysis and manipulation. It is used in quantitative domains and scientific computing, such as signal processing, physics, oil and gas, and finance. Its easy compilation feature and simple-to-read syntax help to mitigate development time. A built-in debugger and an easy debugging program make Python a popular choice for Data Analytics.

Upon completing the Data Science with Python course, you’ll gain proficiency in data visualization, working with real-time data, explaining time series, learning tools for predictive modeling, using Python notebooks, presenting a step-by-step data analysis report, validating machine learning algorithms, and so on.

An expert in the niche of data science must have the following skills:

  • Mathematical computing
  • Data exploration
  • Python programming concepts
  • Web scraping
  • Data wrangling
  • Data visualization

Industries that rely on data science extensively are as follows:

  • Healthcare
  • Retail
  • Construction
  • Entertainment and media
  • Energy and utility
  • Finance and banking
  • Communications
  • Education

A Data Scientist possessing Python Skills earns an average salary of $101743 per year.

A Data Scientist uses the Python programming language to interpret and analyze large volumes of data sets. They extract insights with the help of ML algorithms, data visualization techniques, and statistical machine-learning models. Data Scientists with the know-how to use Python libraries, including Scikit-learn, NumPy, and Pandas, for predictive modelling, creating interactive visualizations, and predictive modeling.

Simpliaxis’s Data Science training introduces you to data science. It helps you learn about the continuous distribution and discrete functions of data science, along with the important statistical concepts helpful in data science. You can also learn about the Python programming language and ways to install and configure Python.

While we accept payments in various currencies, we recommend using the currency from where you want to attend the course.

Payments can be made conveniently through our secure online payment portal on our website. We do not require visiting a physical location for payment.

Yes, we offer discounts and promotions for early payments or certain corporate Training. Keep an eye on our website or contact us to get exciting offers.

You have the flexibility to pay for the course either in full upfront or in installments, depending on your preference. To know more details about it contact us.

No, refund is not possible. You can reschedule your course. To know more about refunds, visit our Refund Policy.

Upon successful completion of payment, you will receive a confirmation email of your payment along with payment invoices.

No, there is no transaction processing fee.

We accept payments from VISA, Master, Maestro, AMEX, and Discover.

All types of payment methods are available. You can pay Online through Credit Cards, Debit Cards and Net Banking, Direct Bank Transfer/Wire Transfer/Wallet to our account and many more.Other payment options available are stripe, Splitit, PayPal for US & CA regions.

No, you won't get your money back. But, as per your convenience, we can reschedule your training without any extra charges.

If you want to know more about the course you can connect us in mail hello@simpliaxis.com or you can call us.

English is the preferred language for training delivery. For corporate Training, any language other than English will have to be requested as a custom service. However, this will be subject to additional costs and the availability of a native language trainer. Please note that only official languages will be considered for this request.

Yes, we’ll be posting multiple schedules every week for all the courses. Based on your convenience, you can select the training schedule. Also, we’ve E-Learning programs for popular courses, you can enroll and watch the training modules whenever you want.

Select the course of your interest from the website and view all the upcoming workshop schedules. You can select your course from the website https://www.simpliaxis.com/

Yes, you can change the date, but you have to inform it 3-4 days before the Scheduled date.

Yes, you will receive a certificate after successful completion of the training course.

Choose the course of your interest, schedule it at your convenience from our upcoming schedule list, and register for the training by submitting your details. Proceed to make a payment and you will receive a confirmation email of your course enrolment. Or you can connect our career advisors to consult & choose your course.

At Simpliaxis we provide training for courses of all the in-demand technologies. One can choose a course from Project Management, Agile, IT, DevOps, Business, IT Service Management, Quality Management, etc based on their choice of interest. To know more, please visit https://www.simpliaxis.com/

We provide different modes of Training: virtual Online Training, Live Virtual Training, Corporate Training & also E-learning.

Yes, For every course, online Training is available.

Yes, we do provide corporate Training. We customize Training based on our clients' needs.

All our trainers are highly qualified and certified, having numerous years of experience in the training industry. You can choose your instructors for your course.

Yes, we do provide discounts on multiple courses. Please visit the schedules page to view the available discounts.

You can reach out to our experienced career counselor
or email us on support@simpliaxis.com
or contact any of our phone numbers
or you can chat with us anytime
or visit our contact us page https://www.simpliaxis.com/contact-us

Yes, course fees for all technologies are affordable. Along with that, we do provide discounts on various courses.

Simpliaxis offers personalized corporate training programs designed for enterprise teams seeking to refine their employees' skills in various job processes or roles, whether through in-person sessions or live virtual instruction. Led by our skilled and certified trainers, these certification programs not only elevate learning curves but also empower teams to effectively apply their newfound skills to meet industry benchmarks. With over 40 certification programs available, the impact is profound, evident in a remarkable 45% improvement in employee retention rates. On average, there's been a notable 30% enhancement in both work satisfaction and capabilities, showcasing the tangible benefits of our training initiatives.

To provide high-quality training and help our professional participants & clients to build a high-performing workforce.

It totally depends upon the course. Please check our website regularly for new offers and discounts throughout the year. You can also chat with one of our career consultants to see if any discounts are available.

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Benefits of Data Science With Python Training in Andorra

  • Chance to opt for better career opportunities in the long run, as the overall demand for Data Science is on the rise with the supply being low.

  • Opportunity to extract high pay & impressive bonuses, as Data Science forms one of the highest paying jobs in the IT industry.

  • Ability to improve educational qualifications by opening up the pathway for Ph.D. or Masters later on.

  • Possibility to increase networking in the world of technology via conferences, publishing research papers, and so on.

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Certified Business Analysis Professional (CBAP®), Certification of Capability in Business Analysis(CCBA®), Entry Certificate in Business Analysis(ECBA®), Agile Analysis Certification(AAC®), Certification in Business Data Analytics(CBDA®), Certificate in Cybersecurity Analysis(CCA®), Certificate in Product Ownership Analysis(CPOA®) are registered trademarks of International Institute of Business Analysis(IIBA®). SimpliAxis INC is an Premier Level Endorsed Education Provider of IIBA®.

SAFe Agilist Certification (SA®), SAFe Program Consultant Certification (SPC®),SAFe Program Consultant Trainer Certification (SPCT®),SAFe Practitioner Certification(SP®),SAFe Release Train Engineer Certification (RTE®),SAFe Scrum Master Certification (SSM®),SAFe Advanced Scrum Master Certification (SASM®),SAFe DevOps Practitioner Certification(SDP®),Agile Product Manager Certification (APM®),Lean Portfolio Manager Certification (LPM®),Product Owner / Product Manager Certification (POPM®),SAFe Architect Certification (ARCH®),Agile Software Engineer Certification (ASE®) and SAFe Government Practitioner Certification (SGP®), Scaled Agile Framework® and SAFe® are registered trademarks of Scaled Agile, Inc.®. SimpliAxis INC is a Silver Partner of Scaled Agile, Inc®.

DevOps Foundation®, DevOps Leader®, SRE Foundation℠, SRE Practitioner℠, DevSecOps Foundation℠, Continuous Testing Foundation℠, Certified Agile Service Manager®, Continuous Delivery Ecosystem Foundation℠ and Value Stream Management Foundation® are registered trademarks of DevOps Institute. SimpliAxis INC is a Registered Education Partner (REP) of the DevOps Institute (DOI) ®.

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