Python Course for Data Science in Jadavpur Kolkata


Python is one of the most popular programming languages and has been gaining popularity in the data science community in recent years. Python course for Data Science Course in Jadavpur Kolkata is designed to give you an in-depth understanding of the various libraries and frameworks used in data science. The course covers various topics such as data wrangling, data visualization, machine learning, and deep learning. The course also provides placement assistance to help you get started with your data science career. If you want to do Python course for Data Analytics in Jadavpur Kolkata, you are at right place.
Acesoftech Academy offers advanced python course which comes with projects so that you can get in-depth knowledge about python. If you are looking for Python training institute for Data Science in Jadavpur Kolkata, you are assured to provide professional training.


    Python for Data Science Course Syllabus

    • 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


    • Pearson correlation
    • Positive & Negative correlation

    Error Metrics

    • Classification
    • Confusion Matrix
    • Precision
    • Recall
    • Specificity
    • F1 Score


    • MSE
    • RMSE
    • MAPE

    Why is Python Essential for Data Science?

    The following are a few reasons why Python is an essential tool for data science:

    Python is Flexible: In terms of flexibility, Python is ideal for developers who wish to script applications and websites. This is because Python is a simple language that does not require as much coding skill as other languages.

    Easy to Learn: The main goal of Python is to keep things simple and readable, making it an excellent tool for beginners. Furthermore, Python has a relatively low learning curve, giving programmers more freedom to experiment. As compared to the old languages, Python has fewer lines of code, so programmers can play around more.

    Python is Open Source: Essentially, Python is free and designed to run on Windows and Linux environments. It can also be ported to other platforms as well.

    Large community: Python is widely used in academia and industry. This means there are many analytics libraries available. Additionally, Python users have access to Stack Overflow, mailing lists, and user-contributed code and documentation. Python is becoming more and more popular every day.

    Certificate From Acesoftech Academy

    Start attending interviews from 2nd month of the course itself

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    Good Lab space for Practice everyday after class
    Only one batch per month with 15 students
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    Tools You Will Master

    Advantages of Training at Acesoftech Academy

    Flexible Online Live and Classroom Training

    100% Internship/Job Guarantee Programs

    Dedicated Placements Team

    Mastery-Level Certifications that are Globally Accepted

    Backup Classes & Lifetime LMS Access

    Completely Practical Oriented Approach

    Hands-on training on the capstone projects

    Free Technical Support & Individual Career Counselling

    Expert mentoring Weekly Tests & Assignments

    Mock-up Exams, and Interviews

    Meet-ups, Workshops, Hackathons & Conferences

    Exclusive programs for Non-IT professionals

    Why is Python such a great tool for data analysis?

    Often used to streamline massive, and complex data sets, Python is a multi-functional, maximally interpreted programming language.

    The advantages of Python make it the best choice for data analysis.

    Learning is easy:

    In addition to focusing on simplicity and readability, Python offers a multitude of useful options for data analysts and scientists.

    Due to its relatively simple syntax, even novices can create effective solutions for complex scenarios with just a few lines of code.


    Among data scientists and analysts, Python's extreme versatility is another powerful attribute.

    Thus, data models can be created, data sets can be systematized, ML-powered algorithms can be developed, web services can be developed, and data mining can be used to complete various tasks efficiently.

    A large collection of libraries:

    Several libraries are completely free and open to the public, which is a key factor that makes Python essential for data analysis and data science.

    The data science community is probably familiar with libraries such as Pandas, SciPy, StatsModels, and others.

    Libraries are constantly expanding, providing robust solutions.

    Visualization and graphics:

    It is well known that visual information is much easier to comprehend, work with, and recall.

    Since Python offers many visualization options, it is a must-have method for all data science, not just processing.

    Data analysts can make data more accessible by developing numerous charts and graphics, as well as web-ready interactive plots.

    Tools for data analytics built-in:

    Complex data can be processed with Python's built-in analytics tools.

    In addition to other critical metrics in evaluating performance, Python's built-in analytics tools can also easily penetrate patterns, correlate information in extensive sets, and provide better insights.

    Python Is most secure and high-paying programing language in the world