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Learn Data Science from Experts in Bangalore

  • Trainer - Sasmita P. (6+ Years of Experience)
  • Course Duration - 60+ Hrs
  • Course Fee - Rs.20,000
Data Science Training in Marathahalli Bangalore

Data Science Training in Marathahalli Bangalore

Boyina Soft offers 60+ hrs of Data Science Training in Marathahalli Bangalore. Learn Data Science from 6+ Years experienced trainer in Bangalore. Apply your knowledge on real Data Science projects and become the best in your field. If you are searching for Data Science Training in Marathahalli Bangalore, look no further than Boyina Soft. Visit our Institute and attend a demo class from our Experienced Data Science Trainer.

Data Science Course Content

In this course, you will learn how to apply Data Science through seven pragmatic steps – Frame, Acquire, Refine, Transform, Explore, Model, and Insight – to any business problem. The focus will be to learn the principles
through an applied case study and by actually coding in Python to solve this.


  • Learn how to employ statistical and machine learning algorithms to solve real life problems by working on real time Projects.
  • Develop proficiency in using python and its libraries like Pandas, numPy, Seaborn,

Python Basics

  • Introduction To Data Science
  • Real-Time Use Cases Of Data Science
  • Who is a Data Scientist?
  • Github Tutorial
  • Skillsets needed for Data Scientist
  • 6 Steps to take in 3 Months for a
    complete transformation to Data Science
    from any other domain
  • Machine Learning-Giving Computers
    The ability to learn from data
  • Supervised vs Unsupervised
  • Deep Learning vs Machine Learning
  • Link to get Free Data to Practice?
  • Some Great self Learning Data Science Resources (Books, Tutorials, Videos, Papers)

Python Fundamentals

Python Fundamentals begins with acquiring an in-depth knowledge of the Python programming language. By the end of the week, students will be expected to program
intermediate level scripts in Python

  • Software Installation
  • Introduction To Python
  • “Hello Python Program” in IDLE
  • Jupyter Notebook Tutorial
  • Spyder Tutorial
  • Introduction to Python
  • Variable,Operators,DataTypes
  • If Else,For and While Loops
  • Functions
  • Lambda Expression
  • Filter, Map,Reduce
  • Taking input from keyboard


  • Create Arrays
  • Array Item Selection and Indexing
  • Array Mathematics
  • Array Operation


  • Introduction to Pandas
  • Series
  • Series indexing and Selection
  • Series Operation
  • Introduction to Pandas
  • Data Frames
  • Data Collection from csv, json, html, excel
  • Data Merging, Concatenation, join
  • Group By and Aggregate Function
  • Order By
  • Missing Value Treatment
  • Outlier Detection and Removal
  • Pandas builtin Data Visualisation

Visualisation- matplotlib, seaborn

we’ll begin curriculum focused on various data visualization techniques and how they can help us engage and learn from our data using Matplotlib, Seaborn, ggplot

  • Line Plots
  • Scatter Plots
  • Pair Plots
  • Histograms
  • Heat Maps
  • Bar Plots
  • Count Plots
  • Factor Plots
  • Box Plots
  • Violin Plots
  • Swarm Plots
  • Strip Plots
  • Pandas Builtin Visualisation Library

Practice, Practice, and Practice!!!!!!!

Implement what you have learned so far by working in a real-time Project……..

This session is dedicated to creating a deep understanding of mathematical concepts we’ll later see in topics like machine learning and statistical analysis. Contrary to the traditional mathematics course, students will learn statistics and linear algebra in a programmatic way to fit a problem’s needs

  • Descriptive vs Inferential Statistics
  • Mean,Median,Mode,Variance,Std. dev
  • Central Limit Theorm
  • Co-Variance
  • Pearson’s Product Moment Correlation
  • R - Square
  • Adjusted R-Square
  • Spearman’s. Rank order Coefficient
  • Sample vs Population
  • Standardizing Data(Z-score)
  • Hypothesis Testing
  • Normal Distribution
  • Bias Variance Tradeoff
  • Skewness
  • P Value
  • Z-test vs T-test
  • The F distribution
  • The chi-Square test of Independence
  • Type-1 and Type-2 errors
  • Annova

  • Introduction to Machine Leaning
  • Machine Learning Usecases
  • Supervised vs Unsupervised vs SemiSupervised
  • Machine Learning process Workflow
  • Training a model
  • Validating results
  • Overfitting vs Underfitting
  • Ordinal vs Nominal data
  • Structured vs unstructured vs semistructured data
  • Intro to scikitLearn


  • Regression Vs Classification
  • Linear regression
  • Multivariate regression
  • Polynomial regression
  • Multi-Colinearity,
  • Autocorrelation
  • Heteroscedasticity
  • Hands On


  • KNN
  • Svm
  • Decision Tree
  • Random Forest
  • Performance tuning of Random Forest
  • Naive Bayse
  • Overfitting Vs Underfitting
  • Hands On

Model Validation

  • Classification Report
  • Confusion Report
  • ROC
  • RMSE
  • MSE
  • Cross-validation
  • Hands On

Clustering & PCA

  • Kmeans
  • How to choose a number of K in KMeans
  • Hands-on
  • PCA
  • Hands-on

Ensemble Methods

  • What is Ensembling
  • Types of Ensembling
  • Bagging
  • Boosting
  • Stacking
  • Random Forest
  • Important Feature Extraction
  • XGBoost

  • Tokenizer
  • Stop Word Removal
  • Tf-idf
  • Document similarity
  • Word2vec Model
  • t-SNE visualisation
  • Sentiment Analysis

  • Basic of Neural Network
  • Type of NN
  • Cost Function
  • Tensorflow Basics
  • Hands-on Simple NN with Tensorflow
  • Image classification using CNN


Sasmita P.

Sasmita P.

Sasmita P. is having 6+ years of Experience working in this field of Data Science. Currently, she is working in a top level MNC as a Data scientist. She has a total of 4.5 years of industrial experience in Big Data.

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Data Science Training in Bangalore

Boyina Soft offers Data Science Training in Marathahalli Bangalore. ✓Trainer - Sasmita Panigrahi (6+ Yrs Exp.) ✓Course Duration - 60+ Hrs ✓Course Fee- ₹20,000. Enquire Now!

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