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

Top Rated Data Science with Python Training

Data Science with Python Training

The Most Comprehensive Certification Course for Guaranteed Career Success

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  • Explore statistics, information visualization, & Machine Learning.
  • Gain proficiency in Python Programming
  • Master the use of Python’s tools for Machine Learning & Data Science
  • Learn from hands-on exercises & practical experiments
  • Try & Test diverse Machine Learning & Data Science algorithms
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Real-World Case Studies

Real-World Case Studies

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Hands-On Project Experience

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Course Overview

Data Science with Python Course Overview

Enroll in Simplaxis’s Data Science with Python Training Course to master Python for Machine Learning and Data Science concepts. Gain a hands-on approach to Python programming concepts such as object-oriented programming, data operations, and file handling. Delve into the world of Python libraries like Numpy and Pandas. 

Whether you’re an analytics professional or a novice, this course will certainly meet your career goals. The Simplaxis course will help you excel in data analysis, data wrangling, statistics, and data visualization through practical applications. With the help of a comprehensive curriculum that covers Recommendation Systems, Machine learning types, & other important topics, kickstart your career in Data Science today. 

Skills Covered

  • Python programming concepts
  • Python Libraries like NumPy & Pandas
  • Machine Learning for Data Science
  • Web scraping
  • Hypothesis building
  • Data visualization
  • Data exploration
  • Data wrangling
  • Mathematical computing
  • Deep Learning & Artificial Neural Networks
  • Statistical Data Analysis

Data Science With Python Training Highlights

Data Science with Python Training Key Features

Attend 40 hours of virtual & live training

24 X 7 query & technical support

Develop a foundational understanding of Data Science techniques.

Learn how to apply Data Science & Machine Learning in real-world scenarios.

Participate in productive and interactive discussions with trainers & other candidates

Learn from industry experts

Discover ways to simplify complex Python problems 

Access to e-learning resources 

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Career upliftment

Reasons to Enrol in the Data Science with Python Training

Learning Opportunities

  • Understand Data Science concepts that align with the market requirements.
  • Gain an understanding of continuous distribution & discrete functions.
  • Navigate basic statistical concepts like measures of dispersion & central tendency.
  • Gain an insight into the Data Science Project Life Cycle.
  • Learn how to configure & install Python for handling data science tasks.
  • Focus on advanced statistical concepts such as hypothesis testing, sampling, & statistical interference.
  • Leverage data visualization & graphics libraries, including Seaborn & Matplotlib
  • Learn fundamentals of machine learning concepts.
  • Understand the working algorithms of data structures & control structures in Python.
  • Discover Python packages related to data science.
  • Hands-on exercises for applying statistical concepts
  • Explore the basics of Python programming with the help of Spyder & Anaconda

UNSURE ABOUT YOUR PREP?

Data Science With Python Practice Test Series

  • Immediate Result
  • Sample Papers
  • Time-Limited
  • Comprehensive Explanation
  • Previous Exam

Benefits focused on Individuals and corporate

Individual & Organizational Benefits

Individual
  • Learn how to implement data visualization, statistical analysis, and machine learning in real-world scenarios.
  • Enhance your analytical skills. This enables you to come up with data-driven decisions, identify patterns, and analyze data.
  • Explore career opportunities in diverse industries like finance, marketing, healthcare, and IT.
  • Stay abreast of the latest tools & Python libraries, such as Matplotlib, NumPy, & Pandas. 
  • Gain proficiency in data science & python to stand out in the competitive job market.
Organizational
  • Help your team to analyze huge datasets and contribute towards data-driven decision-making.
  • Implement machine learning to optimize business operations and boost productivity.
  • Familiarize yourself with evolving consumer demands and market trends.
  • Leverage predictive analytics to ensure the delivery of high-quality products and services. Equip teams with the ability to come up with innovative techniques.
  • Helps to upskill in-house employees. This enables teams to handle machine learning and data science tasks efficiently, minimizing the dependency on external consultants.
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Common attendees

Who usually attend Data Science With Python Training

  • Statisticians
  • Project Managers
  • Marketing Professionals
  • Data Engineers
  • Business Analysts
  • Researchers
  • Healthcare Analysts
  • IT Professionals
  • Innovators and Entrepreneurs

Prerequisites for Data Science With Python certification training

Prerequisites and Eligibility

Having a high school diploma or an undergraduate degree is the only prerequisite for this course. However, you can consider the following points to deepen your understanding:

  • Programming: Having a basic understanding of computer programming languages is recommended.
  • Statistical Concepts: Candidates with a foundational knowledge of statistical concepts will find it easy to grasp concepts. However, it’s not a mandatory requirement.
  • Data Analysis: Candidates with a willingness to learn data analysis along with its uses in Python will benefit from the course
  • Beginner-Friendly: This course is open to beginners as well as individuals who are willing to learn how Python is applied in data science.

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Curriculum

COURSE Curriculum

Data Science With Python Bootcamp

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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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What you will learn in this Data Science With Python workshop

Learning Objectives

Basics of Statistics

Gain an understanding of core statistical concepts like Measures of Dispersion and Measures of Central Tendency.

Python Programming

Gain hands-on experience in Python- from its setup and key programming concepts to its configuration. Learn how to use Spyder and Anaconda.

Use of Python in Data Visualization

Learn how to create visual data representations with the help of data visualization libraries and tools like Seaborm and Matplotlib.

Understand the Data Science Project Life Cycle

Learn about the different stages involved in a data science project. Track the progress of each stage- from collection of data to its implementation.

Data Handling and Control Structures in Python

Gain a deeper understanding of control structures like loops and conditions. Besides, learn about data structures, including lists, sets, and dictionaries, is important for Python programming.

Master Statistical Techniques

Master advanced statistical techniques like statistical inference, hypothesis testing, and sampling.

  • 40+ Certification programs made an impact

     

  • Employee retention improved by 45%

  • Work satisfaction and capabilities improved by 30% on an average

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Data Science With Python Certification COURSE For Corporates

Why SimpliAxis Is The First Choice For Corporates?

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

  • The tool-based learning, guiding, tracking, and grading Customized curriculum as per the team's and company's needs.
  • Customized curriculum as per the team's and company's needs
  • A pool of consultants catering to the work experience across industries.
  • Flexibility in learning- Online, Offline, and Self paced learning
  • The global presence and can train the teams across the geographies.
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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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A reputable training provider with impressive experience in helping professional and business organizations improve their abilities and meet their career ambitions.

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Simpliaxis Offers ongoing assistance prior to, during, and after Training and includes study material exams, guidance for participants on certification, and career choices.

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Our Training sessions are designed to be extremely interactive, featuring real-world scenarios with group participation, questions & answers to aid in understanding.

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