Getting started with Data Science

Most of the industry sectors today are coping with vast amounts of data for which they need reliable management and storage facilities. Since, the amount of data is constantly increasing the requirement for Data Science experts.

Register now to get the free live demo with Real-time trainers, 10+ years of working experience in cloud services.

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Combo Course

Python & Data Science Python

Why to choose us?

We provide the leading training with the industry experts real-time trainers in their relevant domain of experience, we are responsible for this from a past 5 years, a group of teams to full fill your training needs, flexible timings, we are promised to do 100% placement support for you to get a career.
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Free live demo

1 hr free live interaction class are available, one on one session to clarify all your doubts.

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Individual attention

Batch size max 4 – 5 so that trainer can easily concentrate on all

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Trainer profile

Certified trainers having 8 years of work experience in IT domain, with relevant field

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Course completion certificate will provide at the end of the course.

About the course

Python is one of the trendy languages which are used by main companies for web development purposes. Google regularly uses it for its web spider and search engine code. Yahoo has made “groups”: and “maps” use with Python while the Central Intelligence agency has made a full website by this. Moreover, Python works well in commercial games, business software, educational application animation system, and different types of software. Best Data Science Training in Marathahalli.

What is Data Science?

Data science is a multidisciplinary blend which uses different method, algorithms, and systems to extract facts and insights from the business data which is at various forms like structured and unstructured. Using Python Data Analysis Library Pandas, the whole thing can be taken care from importing data from Excel till processing sets for time-series analysis.

We modify our Data Science Course to suit each and every student in a unique way. Our Data Science Training in Marathahalli, Program includes all the main topics such as data mining, data analytics, deep learning with Python, data science with Python, Predictive Analytics, and a lot more. We can directly hit Data Science Algorithms if you are already high-quality at Python Programming. To make you skillful in Python, we also give Python Classroom Courses, Python Online Courses, and Python tutorials for beginners and Data Science Training in Marathahalli.

Best Data Science with Python Training in Bangalore

In today’s era of technology, data plays a key role in each and every field. The fact cannot be deprived of that Data Science Training in Marathahalli, has become one of the most generally accepted disciplines of all time. Data Science can be defined as the study of datasets which is in some method or other associated with data collection, data organization, data interpretation, and data analyzing. After these steps are finished the data is transformed into useful information. The entire process demands rigorous training and an understanding about different aspects which can be attain by opting for Data Science training in Marathahalli, Bangalore. If you are determined enough and willing to chase your dreams of working with top-notch IT MNC’s then you can take up Data Science training in Marathahalli with Python Training in Bangalore.

A data scientist can easily give to an organization’s decision making process by including quantifiable and data-based information in their decision. Learning Python with Data Science Training in Marathahalli can be a plus point for the students as most of the IT companies across the world are implementing this programming language to harvest insights from their vast group of information to stay in front in the competition. Since Data Science and Python are two different concept students may recognize that it may be a difficult course to learn. However, the fact is taking up Data Science with Python is an easy way to learn both the concept as the course is structured differently.

Get Industry Recognized Certifications & Jobs in Top MNC’s

Our certifications will help you get sited easily in top companies such as IBM, HCL, Cognizant, CTS, Dell, TCS, Accenture, etc. Since our certifications are standard globally, you will get the job with the right salary package soon after completing the course Data Science training in Marathahalli. Following are the payback you’ll from our certification :

  • It is a broadly accepted certification, especially when it comes to top companies
  • As a fresher, it will increase your portfolio and resume
  • It gives them skills to clear an evaluation effectively
  • Improves your efficiency for problem-solving in interview
  • It develops your knowledge in completing projects in your current company
  • Boost the repute of your careers
  • Build Sound decision-making capability to get successful in jobs
  • Enhances knowledge and expertise and trains you for further tasks
  • It is used as digital proof of effectiveness
  • It enhances an individual’s self and reliability
  • Improves work prospects, rises in income, portability of jobs.

Trainer Profile of Data Science Python Training in Bangalore

Our Trainers provide complete liberty to the students, to explore the subject knowledge and learn based on real-time examples. Our trainers helps the candidates in completing their projects and even prepare them for interview preparation questions and answers. Candidates are feel free to ask any questions at any point in time.

  • More than 7+ Years of familiarity in the domain.
  • Trained more than 3000+ students in a year.
  • Strong Theoretical & Practical Knowledge both.
  • Certified Professionals with High Grade in the market.
  • Well connected with recruiting HRs in multinational companies.
  • Expert level Subject facts and fully up-to-date on real-world industry applications.
  • Trainers have knowledgeable on multiple real-time projects in their Industries.


Our Trainers are working in multinational company such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc .

Job Responsibilities

Work together with other generation to fully explore specialized prerequisites Champion expert choices and execute answers for the main jobs. Work across with creation team to utilization layers Manage with inward groups to get client prerequisites and give specialized arrangements Execute safety and information assurance arrangements Further build up usefulness of existing frameworks Organize user components into applications Implement data protection and security

Data Science Python training in Marathahalli

Yes we do Python training and Data Science Training in Marathahalli training with other booming courses such as, DevOps, Aws Cloud services, Selenium, Linux, Java And so on, all are our trainers are having appropriate experience in such field, all the classes having a recorded session with individual score and much more, per batch 4 – 5 peoples will be there so that the trainer can focus on all the students.

Data Science Python training in Kalyan Nagar

Java is one of the finest programming languages that you should know even in this day and age. Though there are other programming languages in the field, the demand of Java Course in Bangalore and those who have knowledge in Java is rising up day by day. By having the best Java courses in Bangalore, your chances of being selected in top IT companies will go up.
Tableau Training in Marathahalli
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    Data Science Course Syllabus

    • History of Python
    • Introduction
    • Starting with Python
    • Execute python script

    • Indentation
    • Data Types and Variables
    • Operators
    • Lists and Strings
    • List Manipulations
    • Shallow and Deep Copy

    • Dictionaries
    • Set and Frozen sets
    • Tuple
    • Input from keyboard

    • If-else Block
    • Loops, While Loop
    • For Loop
    • Iterators and Iterables

    • Output with Print
    • String Modulo
    • Format Method

    • Introduction to Functions
    • Recursion and Recursive Functions
    • Parameter Passing in Functions
    • Namespaces
    • Global and Local Variables
    • Decorators

    • Read and Write Files
    • Modules
    • Packages

    • Regular Expressions
    • Lambda, Filter & Map Operators
    • List Comprehension
    • Iterators and Generators
    • Exception Handling
    • Tests, DocTests & UnitTests

    • Introduction
    • Class and Instance Attributes
    • Properties v/s getters and setters
    • Inheritance
    • Abstract Classes

    • Multithreading
    • Memory Management
    • Logging Facility
    • Argument Parser
    • Invoking Sub process
    • Lincache, fnmatch etc

    Module 2 - Sql Syllabus

     MYSQL Server Basics
     Database models
     ER Model Overview
     Data types
     Understanding Test Database
     Basics Queries
     Removing Duplicates
     Data Filters Using Operators
     Data Sorting
     Grouping
     Joints
     Arithmetic and String functions
     Advanced Functions
     SET Operators
     Creating Complex Queries
     DML operations – Insert, Update & Delete
     TSQL
     Database Objects – Create, Alter and Drop Tables
     Views
     Complex Views
     Indexes
     Advanced Indexes Concepts
     How Data is Stored
     Security – User Management
     Cursors
     Nested Cursors
     Functions
     Procedures
     Interoperability between Functions & Procedures

    Module 3 - Data science with Python syllabus

    • Installation and Instruction

    • Data Types
    • Strings in Python
    • Variables and values
    • Boolean Types
    • Loops and decision Making
    • Functions

    • Data Types
    • Strings in Python
    • Variables and values
    • Boolean Types
    • Loops and decision Making
    • Functions

    • Getting datas from internet
    • JSON
    • XML
    • Google API

    • Beautiful soap
    • Log in to web server

    • Basics
    • Normalizations

    • SQL Integration with Python
    • Working across multiple Tables

    • Numpy Intros
    • Numpy with Analytics

    • Pandas Data Reader
    • Google Finance Data
    • Time Series Analysis

    • Data Cleaning
    • Data Visualization

    • Sentiment Analysis
    • Words Cloud
    • Text analysis
    • Topics on Modelling

    • Introduction to Network Analysis
    • Construct a simple Network
    • Graph Drawing
    • Network Analysis Algorithm

    • Classifications of algorithm
    • Regressions
    • Assignments

    • K NN Algorithm
    • Construct a simple Network
    • Clustering
    • Assignments

    Module 4 - Tableau Course Syllabus

     Introduction to Tableau and an overview of the different versions
     Installing Tableau Desktop
     Tableau Help and online resources

     Understanding Tableau User Interface
     Exploring Tableau File Types
     Understanding Green and Blue Pills
     Working with Available Data Sources
     Working with extracts instead of live connections

     Working with Excel Data Interpreter
     Understanding Metadata and sharing data source connections
     Filtering data from your d
     Learning how to Split the fields
     Pivoting Data

     The Show Me Feature
     Crosstabs and Heat Maps
     Using Bar, Stacked Bar and Side-by-side Bars
     Pie Charts
     Line and Area Charts
     Working with Packed Bubble
     Using Tree maps
     Creating a Basic Scatter Plot
     Creating a Basic Maps

     Introduction to Calculations (this will explain the various flavours of calculations and the
    mechanics of calculations)
     Understanding Basics calculations
     Understanding String Calculations
     Learning about Boolean, If-Then calculations, and Case statements
     Understanding the Basics of Date Calculations
     Understanding Aggregation and Disaggregation
     Using calculations to add insight to your visualizations

     Introduction to Mapping in Tableau
     Create a standard map view
     Dealing with map errors
     Customizing a standard map view
     Using filters in maps
     Quiz

     Introduction to Dashboards
     Understanding Dashboard Actions
     Understanding Dashboard formatting basics
     Understanding Workbook level formatting (i.e. font styling, titles, lines)
     Assembling Your Dashboards Into A Story

     Focusing on the narrative
     Using colour with a purpose
     Understanding the importance of using tooltips for your audience
     Using a Parameter To Focus the Audience’s Attention
     Removing clutter in your Dashboard
     How to export your dashboard to another file type

    Module 5 - Power BI Course Syllabus

     Get Started with Power BI
     Overview: Power BI concepts
     Sign up for Power BI
     Overview: Power BI data sources
     Connect to a SaaS solution
     Upload a local CSV file
     Connect to Excel data that can be
     refreshed
     Connect to a sample
     Create a Report with Visualizations
     Explore the Power BI portal

     Overview: Visualizations
     Using visualizations
     Create a new report
     Create and arrange visualizations
     Format visualization
     Create chart visualizations
     Use text, map, and gauge
     visualizations and save a report
     Use a slicer to filter visualizations
     Sort, copy, and paste visualizations
     Download and use a custom visual

     Modify and Print a Reports
     Rename and delete report pages
     Add a filter to a page or report
     Set visualization interactions
     Print a report page
     Send a report to PowerPoint
     Create a Dashboard
     Create and manage dashboards
     Pin a report tile to a dashboard
     Pin a live report page to a dashboard
     Pin a tile from another dashboard
     Pin an Excel element to a dashboard
     Manage pinned elements in Excel
     Add a tile to a dashboards
     Build a dashboard with Quick Insights
     Set a Featured (default) dashboard
     Tweak your dataset for Q&A
     Enable Cortana for Power BI

     Share Data with Colleagues and
     Others
     Publish a report to the webs
     Manage published reports
     Share a dashboard
     Create an app workspace and add
     users
     Use an app workspace
     Publish an app
     Create a QR code to share a tile
     Embed a report in SharePoint Online

     Use Power BI Mobile Apps
     Get Power BI for mobile
     View reports and dashboards in the app
     Use workspaces in the mobile app
     Sharing from Power BI Mobil
     Use Power BI Desktop
     Install and launch Power BI Desktop
     Get data
     Reduce data
     Transform data
     Relate tables
     Get Power BI Desktop data with the
     Power BI service
     Export a report from Power BI service to Desktop

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    Search for ‘most popular data science skills’ only to find Python as one of the top skills required for data science. Indeed, Python, as a programming language has lined the data science world ever since it was developed. This doesn’t signify that learning Python alone would be sufficient to land a data science job.
    Learning Python programming for web development require programmers to master different web frameworks like Django that can help the build websites where learning Python for data science requires data scientists to learn the usage of normal expressions, get working with the scientific libraries and master the data .
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    We accept all major kind of major option such as Cash, Card, Online( Gpay,Phonepe ,Paytm), Net banking and etc.
    OOPs concepts comprises of this:
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    Learn More Technologies gives many suitable modes of training to the students like

    • Classroom Training
    • Live Instructor Online Training
    • Customized Training
    • One-One Training.