Best Data Science With Python Training in Bangalore, India

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Data Science With Python Training in Bangalore Kammanahalli

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110hrs

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1.30hr

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Data Science with python training in Bangalore

Cambridge InfoTech offers the only Data Science with Python training in Bangalore from our experts and very Qualified Trainers with 100% Placement Support in Kammanahalli Bangalore. Data science with python course training in Bangalore. This statement provides, however, each popular IT system is driven by capturing, storing, and analyzing data for numerous desires. Be it regarding creating an opportunity for the business, prognostication weather, finding out protein structures in biology, or planning a promoting campaign. All of these situations involve a multidisciplinary approach of using mathematical models, statistics, graphs, databases, and in fact the business or scientific logic behind the data analysis. thus we would like a programming language that will cater to any or of these various desires of data science. Python shines bright concurrently such language because it has various libraries and inbuilt options that make it simple

What is data science with python

Python is an open-source, understood, high-level language and gives a nice approach for object-oriented programming. It’s one of the most effective languages employed by data scientists for numerous data science projects/applications. Python Data Science Course presents nice practicality to subsume mathematics, statistics, and scientific performance. It gives nice libraries to deals with information science applications.


One of the foremost reasons why the Python Data Science Course is widely utilized within the scientific and analysis communities. its easy-to-use and easy syntax make it easy to adapt for people that do not hold an engineering background. It’s additionally more fit for fast prototyping.
In this tutorial, we’ll match the varied techniques utilized in data science using the Python programing language.


We offer the Best Data Science with Python in Bangalore at Cambridge InfoTech, which is designed to teach candidates essential skills such as Data Analytics, Machine Learning Algorithms, Data Modeling, Business Analytics, k-means clustering, and R programming, all while being raised by highly certified Data Science specialists. We’ve designed the Best Data Science Training in Bangalore for you as per the enterprise standard with Data Science real-time projects and Data Science interview preparation.

By choosing any of the recognized Data Science Certification Course Modules at Cambridge InfoTech, you will become a professional with all the essential skills and tools that are needed for a professional Data Scientist in your career.

Why Data Science with Python

Industry specialists with extensive experience in the sector teach the course.

You can enroll in the course at any location.

The most up-to-date equipment and software versions are available in Data Science Training at our center.

Classroom Ratio 5.1 students in each batch, where each learner will receive individual attention. 

Case studies and real-life projects.

There is no limit to how much time you can spend in the lab or how much you can use it.

Recognized Data Science certification course.

We have trained over 32,000 candidates to become IT professionals, demonstrating our training proficiency in India and UAE.

Courses are scheduled to accommodate working professionals and students with free data science course material. 

Contact sessions with visiting industry experts on a regular basis.

With over 1500+ IT companies in our network, we’re sure to help you with 100% Job Placement assistance.

Learn Data Science With Python in bangalore

data science with python training in Bangalore

Learn Data Science With Python training in the city from Certified data Science specialists. Our Trainers are having over 12+ Years of expertise within the Data Science field. Cambridge InfoTech Rated as data science with python course training institute in Bangalore.
Audience

This tutorial is meant for computer science graduates as well as software system Professionals who are willing to find out data science in straightforward and simple steps using Python as a programing language.

Prerequisites

Before proceeding with this tutorial, you must have a basic knowledge of writing code among the Python programming language, using any python IDE, and executing Python programs. If you are totally unaccustomed to python then please check with our Python tutorial to induce a sound understanding of the language.

What You Learning on This Course

Python Data Science Course could also be stated as a study of knowledge and knowledge. data is analyzed in an elaborate manner step by step transformed into a valuable resource that’s more used for creating IT methods. It may be added strategies as a blend of data interference, rule development, and technology brought along to resolve advanced problems. the process of mining a massive quantity of structured and unstructured knowledge to know their various patterns might facilitate a company in increasing its cost-effectiveness and efficiency. Further, it additionally helps in exploring varied market opportunities and improving production output.
A data scientist will naturally contribute to an organization’s decision-making method by together with quantifiable and data-based info in their decision. Learning data science with python training in Bangalore could also be a and purpose for the students as most of the IT companies across the world are implementing this programing language to harvest insights from their huge pool of information to remain ahead within the competition. Since data Science and Python are completely different ideas students could understand that it’s getting to be a troublesome course to be told. However, the very fact is taking over data Science with Python may be a simple thanks to learn each idea because the course is structured differently.

If you’re willing to find out Python Data Science Course then you would like to make sure that you simply choose a well-recognized institute having a strong team of tutors. Cambridge InfoTech includes a team of extremely qualified professionals having a strong industry background. Students will utterly depend upon the tutors as they perpetually work towards imparting comprehensive knowledge to the scholars .

Syllabus of Data Science with Python

  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types
  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview
  • Python Basic Data types
  • Lists
  • Slicing
  • IF statements
  • Loops
  • Dictionaries
  • Tuples
  • Functions
  • Array
  • Selection by position & Labels
  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library
  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to CSV file
  •  Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields
  • Merging data
  • Data aggregation
  • Data munging techniques
  • Central Tendency
    • Mean
    • Median
    • Mode
    • Skewness
    • Normal Distribution
  • Probability Basics
    • What does it mean by probability?
    • Types of Probability
    • ODDS Ratio?
  • Standard Deviation
    • Data deviation & distribution
    • Variance
  •  Bias variance Tradeoff
    • 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 an NA?
    • Central Imputation
    • KNN imputation
    • Dummification
  • Correlation
    • Pearson correlation
    • Positive & Negative correlation
  • Error Metrics Duration-3hr
    • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score
  • Regression
    • MSE
    • RMSE
    • MAPE
  • Classification
  • Confusion Matrix
  • Precision
  • Recall
  • Specificity
  • F1 Score
  • Linear Regression
    • Linear Equation
    • Slope
    • Intercept
    • R square value
  • Logistic regression
    • ODDS ratio
    • Probability of success
    • Probability of failure
    • ROC curve
    • Bias Variance Tradeoff
  • K-Means
  • K-Means ++
  • Hierarchical Clustering
  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest

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