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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.

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Combo Course

Python & Data Science Python

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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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Certificate

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 purpose. Google regularly uses it for their 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.

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 Program includes all the main topics such as data mining, data analytics, deep learning with Python, data science with Python, Predictive Analytics and 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 Course, Python Online Course and Python tutorial for beginners.

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 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 understanding about different aspects which can be attain by opting for Data Science training in 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 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 can be a plus point for the students as most of the IT companies across the world are implement 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 training. 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 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.
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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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    Testimonials

    Testimonial Reviews
    I passionate to learn Python Data Science online courses .I wanted to explore this field more and I heard from one of my friend about this institute and I decided to join it during the lockdown period. In the beginning, I was insecure to join but I talked to my trainer Kiran Sir on call, and I was assured that this training is going to give me a boost in Data Science career. Talking about the Course Structure, it is very well organized by starting from Scratch. Everyday we have 1 hour devoted to our Lecture and rest of the time for our interesting Code Challenges, which were more than enough for the practice needed for the topic. Kiran Sir is a very great teacher and explains everything smoothly and clears every single doubt.. After the training we had our projects, they made sure that we don’t stuck in it much and complete it. Overall it was very good and full of knowledge experience with great teachers and batch mates. Worth the money and time spent here. I hope this might help the students like me who have any doubts regarding the online training course.
    JanarthanStudent
    Janarthan
    I am lucky to have my Python training in this institution. Thanks to the internet through which I came to know about this coaching classes. I approached the institution with the expectation of their response, cooperative approach, assistance, friendly approach and more importantly faculty competence. Because the method of teaching is very good and even the faculty is having better knowledge to guide the student in various ways. In addition doing practice in the class apart from teaching gives me an immense confidence. All the doubts are clarified in an easier way . The classes are very interactive and expand our knowledge .No doubt the institute meets all the expectations. I thank and appreciate the support provided by the staff members and the faculty. Whole total I am very much happy and recommend others to join for python classes here.
    AkashStudent
    Akash
    When I checked for the online python training after so many suggestions, and I found that this is one of the institute that attracted me. So I went to their websites, dropped a message and requested a callback. So after final discussion I have taken online python training here and my learning journey was exquisite. Also, now let me tell you why I'd review a total of 5 stars and how they fascinated me throughout my personal learning journey. To start of with, before deciding to join  & I had queries about course curriculam, fees structure and flexible class timings and their support was good and was responding in time to the queries- During the training, the Instructor helped us with every topic, and whenever we had doubts, we could ask questions directly because I was involved in the Live classes sessions.  Course content is well designed with case studies and real-life use-cases, Assignments, Interactive and fun Quizzes to answer. We only get certified when the projects and the assignments and tasks are completed. The class experience was also great, a nice platform for the learners. To get the support and live sessions even after the training ends. You can always call them and ask for help. The trainer was knowledgeable and was open to questions all the time. He was very dedicated to the subject of Python and had 10+ experience in the field too.The trainer was very polite and humble. The training was very flexible, if we cannot join in one batch, you can go for any other upcoming batch, making the training very convenient and supportive according to your needs. My overall experience is salutary, and I will suggest this is the best platform to opt for any online learning.
    AbhisekStudent
    Abhisek
    I did enquired in google about best online python training in bangalore and also i enquired couple of instuites to know more about the training process and fee details. But here, i got very clear information about the course content and the fees structure as well. I got chance to speak to the trainer Kiran sir and they provided me free demo session with the trainer and I was very happy to know the trainer before starting the course. The trainer asked me about my education background and technical knowledge as well. He understand me clearly " Where i am standing in my career”. The entire course was 2 months as I opted to study weekdays batch.. My batch size was only 4 peoples so we got good attention from our trainer and we enjoyed the training. The trainer provided lot of assignments and that helped me to gain practical knowledge..The counselor and trainer has given clear plan about course learning and placement support. After finish the course got support for resume preparation , assigned me for 4 interview schedule. i got my offer my 4th interview. Python is the best programming language and considering the scope and popularity, I am very glad to have studied from the best training institute!!
    ManjunathStudent
    Manjunath
    Actually i did electrical engineering in 2020 after that i was preparing for some government exams unfortunately i am not able to clear the exams. after that i searched google for best python training institute in Bangalore and i got lot of training institute lists .that time i saw this institute and I approached them for online trial classes and immediately they responded back and arranged the trial session with real time experienced trainer Kiran sir. His way of teaching and his deep knowledge inside the subjects I liked very much to get enroll for the courses here. First he asked about my graduation & my area of interest humbly after he suggested me to go for 3 best options for my career from that i choose Python full stack development course and i preferred online training here. His way of teaching each and every topics very clearly and he delivered some real time knowledge so easily I had improved my technical skills. Apart from that they are providing placement also it will helpful for me. They gave some resume modification support & interview preparation guidance & sample projects during the course itself. Thank you so much to my tutor Kiran sir & coordinating person Bala Sir.
    AnjaliStudent
    Anjali
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    FAQ

    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 .
    Many great enterprise data scientists began their career in data science without any prior coding knowledge or experience. Though many coding geeks indeed choose to pursue a career in data science, learning data science is not just kept for only those with coding knowledge.
    Local variables are the variables which are defined in the method and scope of the variables that exist inside the method itself. Instance variables are the variables which are defined inside the class and outside the method and the scope of the variables exists throughout the class.
    Python programming language is the one used for application development, web application development, game development, scientific computing, system administration, etc. This programming tool has numerous features that have made it an extremely booming journey.
    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:
    • Inheritance
    • Encapsulation
    • Polymorphism
    • Abstraction
    • Interface

    Learn More Technologies gives many suitable modes of training to the students like

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