Programming Basics &Environment Setup hr

Installing Anaconda, Anaconda, Basics, and Introduction, Get familiar with version control, Git, and GitHub.Intro to Jupyter Notebook environment. Basics Jupyter notebook Commands.Programming language basics.

Python Programming Overview hr

Python 2.7 vs Python 3,Writing your First Python Program
Lines and Indentation,Python Identifiers,Various Operators and Operators
Precedence ,Getting input from User,Comments,Multi line Comments.

Strings, Decisions And Loop
Control hr

Working With Numbers, Booleans and Strings,String types and
formatting, String operations Simple if Statement, if-else Statement
if-elif Statement. Introduction to while Loops. Introduction to for Loops,Using
continue and break.

Python Data Types hr

List,Tuples,Dictionaries,Python Lists,Tuples,Dictionaries,Accessing Values,Basic Operations,Indexing, Slicing, and Matrixes,Built-in Functions & Methods,Exercises on List,Tuples And Dictionary

Functions And Modules hr

Introduction To Functions – Why Defining Functions. Calling Functions
Functions With Multiple Arguments.Anonymous Functions – Lambda
Using Built-In Modules, User-Defined, Modules, Module Namespaces,Iterators And Generators

File I/O And Exceptional Handling and Regular Expression hr

Opening and Closing Files,open Function,file Object Attributes
close() Method ,Read,write,seek.Exception Handling, try-finally Clause
Raising Exceptions, User-Defined Exceptions. Regular Expression- Search
and Replace. Regular Expression Modifiers. Regular Expression Patterns,re module.

Data Analysis Using Numpy And
Pandas hr

Introduction to Numpy. Array Creation, Printing Arrays, Indexing, Slicing and Iterating, Shape Manipulation -Changing the shape, stacking, and splitting of the array. Vector stacking, Broadcasting.

Pandas: Introduction to Pandas, Importing data into Python
Pandas Data Frames, Indexing Data Frames, Basic Operations With Data frame,
Renaming Columns, Subletting, and filtering a data frame.

Data Visualisation using Python:
Matplotlib and Seaborn hr

Matplotlib: Introduction, plot(), Controlling Line Properties, Subplot with Functional Method, MUltiple Plot, Working with Multiple Figures, Histograms

Seaborn :Intro to Seaborn And Visualizing, statistical relationships , Import and Prepare data.Plotting with categorical data and Visualizing linear relationships Seaborn Exercise

Tools Covered

Fundamentals of Math and
Probability hr

Basic understanding of linear algebra,Matrics, vectors. Addition and
Multimplication of matrics.Fundamentals of Probability
Probability distributed function and cumulative distributed function.

Descriptive Statistics hr

Describe or sumarise a set of data Measure of central tendency and
measure of dispersion.The mean,median,mode, curtosis and skewness. Computing Standard deviation and Variance.Types of distribution.

Inferential Statistics hr

What is inferential statistics,Different types of Sampling techniques
Central Limit Theorem,Point estimate and Interval estimate
Creating confidence interval for,population parameter
Characteristics of Z-distribution and T-,Distribution. Basics of Hypothesis
Testing. Type of test and rejection,region. Type of errors in Hypothesis yesting,

Hypothesis Testing hr

Hypothesis Testing Basics of Hypothesis Testing ,Type of test and Rejection Region,Type o errors-Type 1 Errors,Type 2,Errors. P value method,Z score
Method. The Chi-Square Test of, Independence.Regression. Factorial Analysis of
Variance. Pearson Correlation, Coefficients in Depth. Statistical,Significance, Effect Size

Data Processing & Exploratory
Data Analysis hr

What is Data Wrangling, Data Pre-processing and cleaning?
How to Restructure the data? What is Data Integration and Transformation

Introduction To Machine Learning 8hr

What is Machine Learning and its Challenges?
Introduction to Supervised Learning, Introduction to Unsupervised
Learning, What is Reinforcement Learning? Machine Learning applications
Difference between Machine Learning and Deep Learning

Supervised Learning 8hr

Support Vector Machines,Linear regression,Logistic regression
Naive Bayes, Linear discriminant analysis, Decision tree
the k-nearest neighbor algorithm, Neural Networks (Multilayer perception) Similarity learning

Linear Regression 8hr

Introduction to Linear Regression,Linear Regression with Multiple
Variables, Disadvantage of Linear Models, Interpretation of Model Outputs
Understanding Covariance and Colinearity, Understanding Heteroscedasticity

Case Study – Application of Linear Regression for Housing
Price Prediction

Logistic Regression hr

Introduction to Logistic Regression.–Why Logistic Regression .
Introduce the notion of classification, The cost function for logistic regression
Application of logistic regression to multi-class classification.
Confusion Matrix, Odd’s Ratio, And ROC Curve
Advantages And Disadvantages of Logistic Regression.

Decision Trees hr

Decision Tree – data set How to build a decision tree? Understanding Kart Model
Classification Rules- Overfitting Problem. Stopping Criteria And Pruning. How to Find the final size of Trees? Model A decision Tree.
Naive Bayes. Random Forests and Support Vector Machines.Interpretation of Model Outputs

Unsupervised Learning hr

Hierarchical Clustering k-Means algorithm for clustering –groupings of unlabeled data points.Principal Component Analysis(PCA)-Data. Independent components analysis(ICA) Anomaly Detection Recommender System-collaborative
filtering algorithm

Case Study– Recommendation
Engine for e-commerce/retail chain

Natural language Processing hr

Introduction to Natural Language Processing(NLP).
Word Frequency Algorithms for NLP Sentiment Analysis

Case Study :Twitter data analysis using NLP

Introduction to Time Series Forecasting hr

Basics of Time Series Analysis and Forecasting ,Method Selection in Forecasting,Moving Average (MA) Forecast Example,Different Components of
Time Series Data, Log Based Differencing, Linear Regression For Detrending

ARIMA and Multivariate Time
Series Analysis hr

Introduction to ARIMA Models,ARIMA Model Calculations,Manual ARIMA
Parameter Selection,ARIMA with Explanatory Variables Understanding Multivariate Time Series and Their Structure,Checking for Stationarity and Differencing the MTS

Case Study : Performing Time Series
Analysis on Stock Prices

Introduction To R hr

Installation Setup Quick guide to RStudio User Interface
RStudio’s GUI3 Changing the appearance in RStudio
Installing packages in R and using the library Development Environment Overview
Introduction to R basics Building blocks of R Core programming principles
Fundamentals of R

Programming with R hr

Creating an object,Data types in R,Coercion rules in R
Functions and arguments, Matrices, Data Frame, Data Inputs and Outputs with R, Vectors and Vector operation Advanced Visualization, Using the script vs. using the console

Manipulating Data hr

Data transformation with R – the Dplyr package – Part
Data transformation with R – the Dplyr package – Part
Sampling data with the Dplyr package,Using the pipe operator in R
Tidying data in R – gather() and separate(),Tidying data in R – unite() and
spread()

Visualizing Data hr

Intro to data visualization,Introduction to ggplot2
Building a histogram with ggplot2, Building a bar chart with ggplot2
Building a box and whiskers plot with ggplot2, Building a scatterplot with ggplot2

Introduction to Deep Learning And Tensor Flow hr

Neural Network Understaing Neural Network Model Installing TensorFlow Simple Computation ,Contants And Variables. Types of file formats in TensorFlow. Creatting A Graph –Graph Visualization. Creating a Model– Logistic Regression Model Building using tensor flow TensorFlow Classification Examples

Introduction to Tensor Flow hr

Installing TensorFlow Simple Computation,Contents And Variables Types of file formats in TensorFlow Creatting A Graph – Graph Visualization Creating a Model – Logistic Regression Model Building TensorFlow Classification Examples

Understanding Neural Networks With Tensor Flow hr

Basic Neural Network, Single Hidden Layer Model, Multiple Hidden Layer Model, Backpropagation – Learning, Algorithm and visual representation,
Understand Backpropagation – Using Neural Network Example TensorBoard
Project on backpropagation

Convolutional Neural Network(CNN) hr

Convolutional Layer Motivation ,Convolutional Layer Application,
The architecture of a CNN, Pooling Layer Application Deep CNN, Understanding and Visualizing a CNN,Project: Building a CNN for Image Classification

As a matter of fact, data scientists use their knowledge to detect trends and deal with data. At the same time, they find solutions to problems using expertise and a belief that the ideas may be incorrect.

Data scientists are hired for jobs such as:

• Data engineer
• Business analyst
• Data analyst
• Machine learning engineer
• Artificial intelligence engineer
• Data Manager
• Big data analyst
• Database Engineer, etc.

Currently, data science jobs are in high demand in Bangalore and across many industries.

Indeed, the Data Science course is open to anyone with 1+ year of experience. As a matter of fact, there is a different course for Programmers and Core tech background professionals.

Undoubtedly, Fresh graduates from any stream can seek the Data Science course. At the same time, any college-going student can enroll in weekend classes as well.

Additionally, we offer flexibility for choosing customized courses and data science professional mentors. Indeed, we are committed to producing top-quality data science professionals for the upcoming years.

So, let’s look at the reasons that tell you why it is beneficial.

• There are more than 1 lakh job openings across India for this role that offer a minimum of INR 10 lakh to 20 lakh per annum.

• Data Science is evolving, so the demand for data science can catch up with the supply of data scientists.

• Once you are well-versed in Data Science, you can work in many roles because data science is a large domain.

• It is also a safe career to pursue. Since the scope for the field to grow is high, the demand for data scientists will grow.

• Indeed, a well-structured curriculum offers students a clear insight into what to learn. Therefore, you can connect with other researchers or apply theoretical notions to business challenges.

Undoubtedly, Learnbay is recognized as the finest Data Science Training Institute in Bangalore. In fact, the program offers Data Science Certification in collaboration with IBM.

However, obtaining Data science certification online training in Bangalore is simple. Additionally, get certified in data science in Bangalore by getting good scores in assessments. Additionally, qualify the Job help eligibility and get exciting job offers in Bangalore and all over India.

Indeed, Learnbay is an ideal data science course training Institute in Bangalore. We are one of the best data science learning institutes in urban cities such as Bangalore. However, the primary focus of Learnbay is to:

• Maintain one-on-one contact with the mentor
• Allow for some flexibility in selecting a mentor.
• Demonstrate real-time data analysis
• Provide industrial training

• Provide hands-on expertise in Domain elective projects

• Access to lectures and notes after course completion

• Assist with job searches and career counselling
• Assist learners 24 hours a day

Surely, the programming languages taught in the data science course in Bangalore are Python and R, MySQL, and others. Special attention is paid to these two languages due to the high demand for model training.

What are the major industries in Bangalore?

Indeed, Bangalore is a hub for high-tech and service industries. As a result, there are several opportunities for a data scientist in Bangalore, India’s “Silicon Valley.”

Indeed, the essential features of the Learnbay data science course in Bangalore are:

• Customised Data Science learning programs
• Domain specialisation elective for professionals
• Full-time student support
• Experienced mentors with professional skills
• Flexibility to choose mentors
• Real-time projects
• Hands-on practice for industrial projects
• Access to cloud lab for analysis demonstration
• Career counselling and job guidance
• Resume preparation
• Interview preparation

Firstly, enroll in Learnbay’s data science course in Bangalore to start a career in data science. Indeed, this course will help you master data science abilities. Additionally, it also helps you prepare for interviews if you want to work in the data science field.

How to Find Data Science and Business Analytics in Bangalore?

Surely, this Data Science certification training provides hands-on experience with essential technologies. Such as R, Python, Machine Learning, etc through live interaction and industry projects. Kindly visit Learnbay and enroll in the course immediately.

Should I get a data science certification? Surely, it’s the most perplexing question that every aspiring data scientist must confront. Additionally, there are a few queries like – Will it boosts the weight of my resume, or will it assist me in landing a job? As a result, there is increased stress and confusion.

A data science certification undoubtedly has some advantages. Without a doubt, it demonstrates your love and passion for data science. Still, there is a caution — due to the surge in data science, many courses have become widespread or general.

The following books are obligatory reading materials for any data science professionals:

• Data Science From Scratch by Joel Grus
• Hands-on Machine Learning with Scikit-Learn,Keras,TensorFlow by Aurélien Géron
• Build a career in Data Science by Emily Robinson and Jacqueline Nolis

Flexible Two-Year Subscription

• The ability to attend numerous batches taught by a variety of trainers.
• Access to recordings of all our learnbay data science courses is perpetual.
• Possibility of switching batches between weekday and weekend sessions

I am not able to access the online Data science courses in Bangalore. Who can help me?

Contact us via the form on the right side of any Learnbay page, the Live Chat link, or contacting Help & Support.

Is Data Science a promising career in Bangalore?

Indeed, businesses embrace digital transformation, making a profession in data science attractive. As a result, companies are becoming more digital, and data scientists will remain in demand. Consequently, extensive use of business analytics has been observed in the past few years. Certainly, Business analytics plays a crucial role in surplus growth and profits. As a result of the present skills scarcity, firms are willing to pay higher compensation. Indeed, you can qualify for this rewarding job with Learnbay’s Data Science course.

Indeed, data science is a broad field, and it is impossible to become an expert in it in six months or a year. However, having a basic understanding of programming and analytics tools is required. Nevertheless, using Data Science skills is simple after this Data Science course in Bangalore.

Will a Data Science course in Bangalore land me a good career?

Obviously, businesses are embracing digital transformation. As a result, the increased reliance on data makes a career in data science quite lucrative. Evidently, the businesses are ramping up their digital activities. Therefore, data science abilities will continue to be in high demand in the foreseeable future. In addition, the extensive use of Data Science has been observed in the past few years. Of course, data science plays a key role in surplus growth and profits. Additionally, given the current skills shortage, businesses are willing to offer data scientists greater wages for the data scientist, Data Science, machine learning, and Artificial Intelligence roles. Undoubtedly, you can qualify for this rewarding job with Learnbay’s Data Science course in Hyderabad.

Can a fresh graduate seek employment after completing this Data Science course?

Due to the rising need for data scientists, companies are willing to pay higher rates. However, one must show their data science expertise and get industrial exposure. Indeed, Learnbay’s Data Science certification teaches new graduates all essential data science skills. Additionally, it prepares them for the workforce by requiring them to work on real-world projects.

Indeed, the Data Science training in Bangalore covers advanced machine learning and AI. Certainly, Learnbay has created various Artificial Intelligence methods. Indeed, our Data Scientists in Bangalore have developed the following core competencies:

Language mastery

Indeed, our Data Scientists are skilled in Python, C++, Java, etc. Certainly, Data Science demands good coding skills. So does our curriculum.

Learning data engineering

Data preparation and storage capacity is another helpful data science skill. So, we need a data scientist who can build, extract, transform, and store data pipelines. Additionally, Learnbay’s industrial projects aid in data engineering skills mastery.

Data analytics skill

Indeed, the important data science skill is data analysis. Although, data collection takes time, finding valuable patterns takes even longer. Data visualisation in the form of histograms, box plots, heat maps, etc., is also required. However, only a data fanatic with data analytics abilities can do all this. Nevertheless, Learnbay’s data science curriculum includes data visualisation training. So, develop Business Analytics abilities to specialise.

Making AI models

Indeed, a data scientist’s main responsibility is to create data analytics models. Thus, this course will teach you how to use machine learning and AI approaches. Additionally, the programs help them find connections between data sets. However, model development requires extensive testing.

Model deployment & security

After creating a machine learning model, they must be evaluated for implementation. When installing a machine learning model, various factors must be considered. Thus, the performance parameter is based on flexibility.

Indeed, data science education often includes software security. Thus, training is required to secure machine learning models. Indeed, Learnbay’s data science courses teach all these skills for a low data science course fee.

Indeed, Learnbay provides job help and practise interviews for budding Data Scientists in Bangalore. Additionally, we aid with resume writing, interview prep, and job profile selections. Besides, our firm bond with MNCs and IT companies comes in handy during bulk placements. So, all you need to do is sit back, take classes, relax and let us do our job!