Data Science Training Institute in BTM Layout

 

Data Science Training Institute in BTM Layout, Prwatech, India’s Best Training institute for Data science Course offering Advanced Data science training in BTM Layout to all Data science enthusiasts. Our Best Data Science Training Institute in BTM Layout is an ideal option for those who wanted to master their skills and who wanted to understand this technology from scratch.  Our training institute maintained by Top Certified industry experts who are carrying 15+ years of Real-time Experience worked with top MNC companies. So grab the best opportunity to learn Data science course under certified industry experts of Prwatech today itself enroll now with us and get the all the benefits from Prwatech.

Taking advanced Data science Training in BTM is an ideal option for those who stay in BTM layout locally searching for the best Training institute for data Science course in BTM Layout. If you are also looking for the same then step into our Corporate Branch at BTM Location and Get the Free Demo classes with Prwatech. We are Offering World Class classroom Training to all our students who enrolled for our Data science Training in BTM will get additional benefits i.e. Access to Our Dedicated YouTube Channel. So One who miss Our Classroom Training Can able to access all our modules via Prwatech Dedicated YouTube Channel.

 

BEST DATA SCIENCE TRAINING IN BTM LAYOUT

 

Prwatech, the Best Data Science Training Institute in BTM Layout is an ultimate choice for all tech enthusiasts who are a pang of hunger to learn the technology like a pro. Are you the one who is hunting for the best platform to learn the advanced course? Or the one who is looking for the best trainer who can teach you the course from zero to advanced level in a very short duration? Then don’t lose your minutes jump to our classroom Training from today and get a certification course under a world-class E-learning environment. We Designed Our Course modules with flexible timing, so anyone can opt for our institute without compromising personal life.

Contact Us +91 8147111254

14th
OCT

MONDAY
Rs. 16000/-Enroll Now

19th
OCT

SATURDAY
Rs. 16000/-Enroll Now

21st
OCT

MONDAY
Rs. 16000/-Enroll Now

26th
OCT

SATURDAY
Rs. 16000/-Enroll Now

We don’t end our course just by providing advanced training we will provide all our students who enrolled for our advanced Data science training Institute in BTM Layout Real-time Projects exploration Opportunity. So one can easily face & solve any kind of challenges while working in Real-time Projects in any Organization. Prwatech also offering a dedicated YouTube channel in case any of our students missed any classes that can easily access our YouTube channel to cover the missing topics.

 

Benefits of Data Science Training in BTM Layout @Prwatech

 

  • 100% Job Placement Assistance
  • 24*7 Supports
  • Support after completion of Course
  • Mock tests
  • Free Webinar Access
  • Online Training
  • Interview Preparation
  • Real Times Projects
  • Course Completion Certificate
  • Weekly Updates on Latest news about the technology via mailing System
  • During various sessions, one can learn the use of different tools of this framework.

 

What Else We Do Provide

 

  • Real-Time Project
  • Video Recording
  • Assignment
  • Technical Notes
  • Mock Test
  • Online Test
  • POC
  • 100% Job Assistance

Modules of Data Science Training in BTM

Module 1: Python Essentials

Learning Objective: To understand why Python is a useful scripting language for developers. To learn how to design and program Python applications.

Introduction

  • What is Python..?
  • A Brief history of Python
  • Why Should I learn Python..?
  • Installing Python
  • How to execute Python program
  • Write your first program

Variables & Data Types

  • Variables
  • Numbers
  • String
  • Lists, Tuples & Dictionary

Conditional Statements & Loops

  • If…statement
  • If…else statement
  • elif…statement
  • The while…Loop
  • The for….Loop

Control Statements

  • Continue statement
  • Break statement
  • Pass statement

Functions

  • Define function
  • Calling a function
  • Function arguments
  • Built-in functions

Modules & Packages

  • Modules
  • How to import a module…?
  • Packages
  • How to create packages
  • Classes & Objects

Introduction about classes & objects

  • Creating a class & object
  • Inheritance
  • Methods Overriding
  • Data hiding

Files & Exception Handling

  • Writing data to a file
  • Reading data from a file
  • Read and Write data from CSV file
  • Try…except
  • Try…except…else
  • Finally
  • OS module

Module 2: Statistics

Learning Objective: Demonstrate knowledge of statistical data analysis techniques utilized in decision making. Apply principles of Data Science to the analysis of problems. Be able to restate an investigative question in terms of a statistical model or algorithm.

Inferential statistics

  • Standard error
  • Confidence interval
  • Hypothesis testing
  • p-value

Sample vs. population mean

  • Variance of population

Probability and statistics

  • Probability density functions
  • Poisson Process
  • Law of large numbers
  • Normal distribution
  • Sampling distribution
  • Mean
  • Variance of Bernoulli
  • Regression

Module 3: Introduction to Machine Learning (ML)

Learning Objective: The purpose of machine learning is to discover patterns in your data and then make predictions based on those often, complex patterns to answer business questions, and help solve problems. Machine learning helps analyze your data and identify trends.

Introduction

  • What is Machine learning?
  • Overview about sci-kit learn and tensorflow
  • Types of ML
  • Some complementing fields of ML
  • ML algorithms
  • Machine learning examples

NumPy Arrays

  • Creating multidimensional array
  • NumPy-Data types
  • Array attributes
  • Indexing and Slicing
  • Creating array views and copies
  • Manipulating array shapes
  • I/O with NumPy

Working with Pandas

  • Installing pandas
  • Pandas data frames
  • Pandas Series
  • Data aggregation with Pandas Data Frames
  • Concatenating and appending Data Frames
  • Joining Data Frames
  • Handling missing data

Python Regular Expressions

  • What are regular expressions?
  • The match Function
  • The search Function
  • Matching vs searching
  • Search and Replace
  • Extended Regular Expressions
  • Wildcard

Python Oracle Database Access

  • Install the cx_Oracle and other Packages
  • Create Database Connection
  • CREATE, INSERT, READ, UPDATE and DELETE Operation
  • DML and DDL Operation with Databases
  • Performing Transactions
  • Handling Database Errors
  • Disconnecting Database

Regression based learning

  • Simple regression
  • Multiple regression
  • Logistic regression
  • Predicting house prices with regression

Clustering based learning

  • Definition
  • Types of clustering
  • The k-means clustering algorithm

Data mining

  • Introducing data mining
  • Decision Tree
  • Affiity Analysis
  • Clustering

Introducing matplotlib

  • Bar Charts
  • Line Charts
  • Scatter plots
  • Bubble charts

Working with openCV

  • Setting up opencv
  • Loading and displaying images
  • Applying image filters
  • Tracking faces
  • Face recognition

Module 4: Performing predictions with Linear Regression

Learning Objective: The basic objective of this course is to learn How to calculate a simple linear regression step-by-step, How to perform all of the calculations using a spreadsheet, How to make predictions on new data using your model, A shortcut that greatly simplifies the calculation.

Simple linear regression

  • Multiple regression
  • Training and testing model

Introduction to Python

  • Installation of Python framework and packages: Anaconda & pip Writing/
  • Running python programs using Spyder Command Prompt Working with Jupyter
    Notebooks.
  • Creating Python variables
  • Numeric, string and logical operations
  • Data containers: Lists, Dictionaries, Tuples & sets Practice assignment

Iterative Operations & Functions in Python

  • Writing for loops in Python
  • While loops and conditional blocks List/Dictionary comprehensions with loops
  • Writing your own functions in Python Writing your own classes and functions

Data Handling in Python using NumPy & Pandas

  • Introduction to NumPy arrays, functions & properties Introduction to Pandas &
    Data frames
  • Importing and exporting external data in Python Feature engineering using
    Python

Data Science & Machine Learning in Python

  • Converting business problems to data problems
  • Understanding supervised and unsupervised learning with examples
  • Understanding biases associated with any machine learning algorithm Ways of
  • Reducing bias and increasing generalization capabilities Drivers of machine
  • Learning algorithms
  • Cost functions
  • Brief introduction to gradient descent
  • Importance of model validation
  • Methods of model validation
  • Cross validation & average error

Generalized Linear Models in Python

  • Linear Regression
  • Regularization of Generalized Linear Models
  • Ridge and Lasso Regression
  • Logistic Regression
  • Methods of threshold determination and performance measures for Classification score models

Tree Models using Python

  • Introduction to decision trees
  • Tuning tree size with cross validation Introduction to bagging algorithm Random
    Forests
  • Grid search and randomized grid search ExtraTrees (Extremely Randomised
    Trees) Partial dependence plots
  • Support Vector Machines (SVM) & kNN in Python
  • Introduction to idea of observation based learning Distances and similarities
    k Nearest Neighbors (kNN) for classification Brief mathematical background on
    SVM Regression with kNN & SVM

Unsupervised learning in Python

  • Need for dimensionality reduction
  • Principal Component Analysis (PCA) Difference between PCAs and Latent
  • Factors Factor Analysis
  • Hierarchical, K-means & DBSCAN Clustering

Text Mining in Python

  • Gathering text data using web scraping with urllib
  • Processing raw web data with BeautifulSoup
  • Interacting with Google search using urllib with custom user agent collecting twitter data with
  • Twitter API
  • Naive Bayes Algorithm
  • Feature Engineering with text data
  • Sentiment analysis

Best Data Science Training institute in BTM Layout Reviews

 

  • Lakhan chawda: To kick start a career in the Data Science field I think the Prwatech training institute is giving better opportunities to everyone. They are giving the best platform to learn by which everyone will be in advantage.

 

  • Dhruvash Boss: Prwatech Best Data science course is the most helpful thing for cracking interviews and teaching staff provides great knowledge about Data Science. I’m thankful to Prwatech Training Institute for giving me great opportunities. I wish you good luck and success in the future.

 

  • Shivang bhatt: Recommend this place for a good coaching experience. Prwatech is an well organized with job assistance in Data science. I am happy to attend Data science course & improve my skills.

Spark Course Bangalore

Rs. 14,000 + Tax

per 2 weeks

35 Hours
Practical 40 Hours
15 Seats
Course Badge
Course Certificate

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