DATA ANALYTICS COURSE IN BANGALORE

4.8 (19,031 reviews)
  • Course covers Python, Machine Learning, concepts in Computer Vision and AI key areas
  • 4-months of Intensive Training and LIVE Project mentoring
  • Unlimited access to Artificial Intelligence Cloud Lab for practice
  • Data & Business Analytics
  • Duration: 4 Months
  • Real-Time Projects
  • BootCamp
  • Resume Building Session
  • Interview Preparation
  • Mock Interview
  • Placement Assistance
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Key Features

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Most demanded skills and tools.

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Highly engaging physical sessions led by subject-matter experts.

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Multiple industry-aligned capstone projects.

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Speed Building Techniques and Mock tests.

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Job + Personality oriented comprehensive programs.

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Tips & tricks on how to use the tools & technologies for dynamic & responsive web apps.

Course
Advantages!

Skills we will be Infusing!

Technical Skills

Interpersonal Skills

Tool-Pool

Outcomes of the program?

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Successful Data Analyst

Soon after completing this program, you will be a successful Data Analyst in a reputable IT Company with a very decent salary package as per the IT Industry standards.

Job positions

You will acquire the necessary skills and expertise to excel in the industry and be qualified for various job positions.

Succeed in job interviews

Our program includes a soft skills development component that will enhance your abilities to succeed in job interviews and showcase your strengths.

Live Projects

Through timely assessments and project-based training, you will gain proficiency in handling multiple live projects.

Job Selection

The Interview & GD training aspect of the program will equip you with the knowledge to succeed in job selection and perform well in any company.

Teamwork and Interaction

You will be proficient in teamwork and client interaction, making these qualities less challenging for you.

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Syllabus For Data Analytics Course in Bangalore

  • 1. Introduction To Analytics
  • 2. Analytics Real-Time Use Case
  • 3. Tools & Framework Used
  • 1. Introduction of Python
    • Overview of Python
    • Why Python
    • When to Use Python
    • Python Types
  • 2. Python Installation
    • Installing Python
    • Setup in Windows, Unix, Linux
    • Hands-On with Basic Python Commands
  • 3. Basic Syntax / Construct of Python
    • Identifiers
    • Reserved Key Words
    • Line/Indentation
    • Multi-Line Statements
    • Accessing/Parsing Command-Line Arguments
  • 4. Python Variables & Types
    • Variables and Naming rules
    • Built-in Data Types in Python (Numeric, Int, Float, Complex)
    • Sequence Types (List, Tuple, Range)
    • Text Sequence (String)
    • Set Types (Set, Frozensets)
    • Mapping Types (Dictionary)
    • Data Type Conversions (Built-in Types)
    • Constants
  • 5. Python Basic Operators
    • Arithmetic
    • Comparison
    • Assignment
    • Identity
    • Logical
    • Bitwise
  • 6. Input & Output
    • raw_input()
    • input()
    • Reading Dynamic Data from User
    • Command Line Arguments
    • Output Statement
  • 7. Decision Making
    • IF
    • IF-ELSE
    • Nested IF
    • IF-ELIF-ELSE
    • Single Statement Suites
  • 8. Loops
    • FOR LOOP
    • WHILE LOOP
    • INFINITE LOOP
    • NESTED LOOP
    • BREAK
    • CONTINUE
    • PASS
    • Loop Control
  • 9. Functions
    • Built-in Functions
    • User Defined Functions
    • Functions Parameters
    • Return Statement
    • Returning Multiple Variables
    • Types of Arguments (Positional, Keyword, Default, Variable Length)
    • Variable Types (Global & Local)
    • Recursive Function
    • Anonymous Function
    • Lambda Function
    • Filter Function
    • MAP Functions
    • Reduce Function
    • Function Alias
  • 10. Function Decorators
    • What Are Decorators?
    • With & Without Decorators
    • Decorator Chaining
  • 11. Generators
    • Introduction To Generators
    • Advantage
    • Performance Testing
  • 12. Strings
    • raw_input()
    • input()
    • Reading Dynamic Data from User
    • Command Line Arguments
    • Output Statement
  • 13. List
    • Accessing Values in Lists
    • List Operations
    • Built-in List Functions & Methods
    • List Slicing
    • List Comprehension
    • Sorting & Reversing
  • 14. Sets
    • What is Set?
    • Set Creation
    • Accessing Set Values
    • Adding Elements into Set
    • Removing Elements
    • Set Union Operation
    • Set Intersection Operation
    • Set Symmetric Difference
  • 15. Tuples
    • Tuples Introduction
    • Accessing Tuple Values
    • Tuple Operation
    • Tuple Functions
    • Deleting Tuples
  • 16. Modules
    • Modules Introduction
    • Module - Aliasing
    • Accessing Modules - Methods
    • Module Import Possibilities
    • Module Member - Aliasing
    • Reloading Module
    • Python In-Built Modules (Math, Random, etc.)
  • 17. Python Packages
    • What is a Package?
    • Advantages of Package
    • Package Creation
    • Accessing Package Members
  • 18. Errors & Exceptions
    • Error Types
    • What is Exception?
    • Significance of Exception Handling
    • Basic Exception handling
    • Default Exception Handling
    • Try With Multiple Except Block
    • Control Flow (try-except) Block
    • Types of Exceptions
    • Defining and Using Custom Exceptions
  • 19. Python Logging
    • Logging Of Exceptions
    • Logging Levels
    • Logging Implementations
    • Formatting Log Messages
    • Adding Timestamp to Log Messages
    • Changing Date & Time
    • Root Logger
    • Advanced Logging Features
    • Logger With Configuration File
    • Creating Custom Logger
    • Advantages of Customized Logger
  • 20. Debugging Using Assertions
    • Debugging Using Assert
    • Types of Assert Statements
    • Exception Handling VS Assertions
  • 21. Classes/Objects (OOPs)
    • What is a Class?
    • What is an Object?
    • Reference Variable
    • Self Variable
    • Constructor
    • Methods VS Constructors
    • Types of Variables
    • Accessing Instance Variable
    • Deleting Instance Variable from Object
    • Static Variable Handling
    • Local Variables
    • Types of Methods
    • Setter & Getter Methods
    • Enabling/Disabling Garbage Collector
    • Destructors
    • Finding Object References
  • 22. Standard Libraries
    • Operating System (OS) Interface
    • Command Line Arguments
    • Regular Expression (String Pattern Matching)
    • Date and Time, Mathematics
  • 23. Python File Handling
    • Types of Files
    • Opening File
    • Closing File
    • File Object - Properties
    • Writing Data into Text Files
    • Reading Data from Text Files
    • WITH Statement
    • seek() & tell() Methods
    • Checking File Existence
    • Handling Binary Files
    • Handling CSV Files
    • Zipping & Unzipping Files
    • Directory Handling
    • listdir() and walk()
    • Pickling And Unpickling
  • 1. Regular Expressions
    • Introduction to Regular Expressions
    • Area of Application
    • re Module
    • Character Class
    • Pre-Defined Class
    • Quantifiers
    • Functions of re
    • Special Symbols
    • re.IGNORECASE
    • Application Programs
  • 2. NumPy
    • Introduction
    • Creating and Generating NumPy Array
    • Random Modules
    • NumPy Operations
    • Indexing and Selection
    • Broadcasting with NumPy Array
    • Multi-Dimensional Array
    • NumPy Functions
  • 3. Pandas
    • Introduction to Pandas
    • Introduction to DataFrames
    • Introduction to Series
    • Creating DataFrames
    • Row/Column Operations
    • Conditional Selection
    • Data Filtration
    • Index Handling
    • Multi-Level Indexing
    • Handling Missing Values
    • Grouping And Other Grouping Functionalities
    • Data Aggregation
    • Concatenate
    • Merge
    • Suffix
    • Indicator
    • Validate
  • 4. MatPlotLib
    • Introduction
    • Different Methods of Creating Plots
    • Functional Method of Plotting
    • Single Plots
    • Multiple Plots
    • Sub-Plots
    • Object Oriented Methods
    • Figure Size, Aspect Ratio, DPI
    • Figure Saving
    • Legends, Colors, and Aesthetic Settings
    • Types of Plots (Area Chart, Bar Chart, Line Chart, Box Plots, Hex Plots, KDE Plots, Time Series Visualization, And Many More)
  • 5. SeaBorn
    • SEABORN - Introduction
    • Visualising Data Distribution
    • displot()
    • jointplot()
    • pairplot()
    • barplot()
    • countplot()
    • boxplot()
    • violinplot()
    • stripplot()
    • swarmplot()
    • Combining Plots
    • heatmap()
    • clustermap()
    • FacetGrid()
    • JointGrid()
    • lmplot()
    • Style & Color
    • Scale and Context
  • 1. Introduction
    • Overview of Databases
    • Installation of PostgreSQL
    • Setting Up PgAdmin
    • Creating Databases
  • 2. SQL Fundamentals
    • Select Fundamentals
    • DISTINCT
    • WHERE
    • COUNT
    • LIMIT
    • ORDER BY
    • BETWEEN
    • IN
    • LIKE
    • WHERE VS HAVING
  • 3. GROUP BY
    • MIN MAX SUM & AVG
    • GROUP BY
    • HAVING
  • 4. JOINS
    • Overview of Joins
    • AS Statement
    • Join Types
    • INNER JOIN
    • OUTER JOIN
    • LEFT OUTER JOIN
    • RIGHT OUTER JOIN
    • UNION
  • 5. Advanced SQL Commands
    • Timestamp and Extract
    • Mathematical Functions
    • String Functions
    • Operators
    • Subquery
    • Self-Join
  • 6. Database & Table Creation
    • Data Types
    • Primary Key
    • Foreign Key
    • Constraints
    • Real-Time Table Creation Challenges
    • INSERT
    • UPDATE
    • DELETE
    • ALTER
    • DROP
    • CHECK Constraint
    • NOT NULL Constraint
    • UNIQUE Constraint
    • VIEWS
  • 7. PostgreSQL with Python
    • Overview
    • Psycopg2
  • 8. Advanced Functions for Data Analytics
    • Window Function
    • Row_Number
    • RANK
    • DENSE_RANK
    • LEAD
    • LAG
    • NTILE
    • NTH_VALUE
    • PERCENT_RANK
    • FIRST_VALUE
    • LAST_VALUE
  • 9. CASE Statement
    • CASE Expression
    • CASE With Multiple Conditions
  • 10. Common Table Expressions (CTE)
    • What is CTE?
    • Where to use CTE?
    • Joining CTE with Table
    • Using CTE with Window Function
    • Advantages of CTE
  • 11. SQL for Data Science & Business Intelligence
    • Analyzing Customer Behavior
    • Customer Value Analysis - Case Study
    • LAG Function
    • Order Status Analysis
    • Predict Lifetime Value
    • Identifying Cross-Selling Pattern
    • Profit & Loss Analysis Project
  • 1. Getting Started
    • Introduction to Tableau
    • Installation
    • Basic Exercise
  • 2. Tableau Basics - Your First Chart
    • Business Challenge
    • Connecting Tableau to Data Files
    • Navigating Tableau
    • Creating Calculated Fields
    • Adding Colors
    • Adding Labels & Formatting
    • Exporting Worksheet
    • Get the VIZ
  • 3. Time Series Aggregation & Filters
    • Introduction
    • Data Extracts in Tableau
    • Time Series
    • Aggregation Granularity & Level of Details
    • Area Chart - Highlighting
    • Adding Filter & Quick Filters
  • 4. Maps, Scatterplot & Dashboards
    • Introduction
    • Joining Data In Tableau
    • Creating Map with Hierarchies
    • Scatter Plot - Filter Application to Multiple Worksheets
    • Creating Dashboard
    • Interactive Action - Filter
    • Interactive Action - Highlighting
  • 5. Joining & Blending - Dual Axis Chart
    • Introduction
    • Joins
    • Joins with Duplicates
    • Joining on Multiple Fields
    • Joining Data VS Blending Data
    • Data Blending in Tableau
    • Dual Axis Chart
    • Creating Calculated Fields in Blend
  • 6. Advanced Dashboards & Storytelling
    • Fundamentals
    • Dataset Connection with Tableau
    • Mapping to Set Geographical Roles
    • Creating Table Calculations
    • Leveraging the Power of Parameters
    • Tree Map Chart
    • Customer Segmentation Dashboard
    • Advanced Dashboard Interactivity
    • Customer Segmentation Analysis
    • Creating Storyline
  • 7. Advanced Data Preparation
    • Section Introduction
    • Right Data Formats
    • Data Interpreter
    • Pivot
    • Splitting Columns
    • MetaData Grid
    • Fixing Geographical Data Errors
  • 8. Tableau New Features
    • Introduction
    • Challenge Startup Expansion Analytics
    • Custom Territories Via Groups
    • Custom Territories Via Geographical Roles
    • Adding Highlighter
    • Clustering in Tableau
    • Cross-Database Joins
    • Modeling With Clusters
    • New Design Features
    • New Mobile Features

Overview of InfoDrafters

At InfoDrafters, located in BTM Layout, Bangalore, we specialize in delivering high-quality, industry-relevant training in Data Science, Machine Learning, AI, Data Analytics, AWS, and DevOps. Our programs are meticulously designed to equip students with both technical expertise and industry-ready skills, ensuring they are fully prepared to excel in their chosen careers.

InfoDrafters offers a dynamic learning environment focused on hands-on training through real-world projects. Our curriculum is continuously updated to reflect the latest trends and advancements in technology, ensuring students stay ahead of the curve. Here’s what makes InfoDrafters unique:

With a proven track record of success, InfoDrafters continues to empower individuals and transform careers. Our commitment to quality education, career-focused training, and practical expertise makes us a leading institute for tech training in Bangalore.

Curriculum at InfoDrafters

Who Should Enroll at InfoDrafters?

This course is ideal for professionals looking to advance their skills in data science, AI, DevOps, and cloud technologies, including:

InfoDrafters' courses are designed for anyone with a passion for learning and the desire to advance their technical skills, regardless of their current expertise level. Whether you're looking for career advancement, a complete career change, or simply expanding your knowledge, InfoDrafters has the right program for you.

Job Roles & Skills at InfoDrafters

Graduates of InfoDrafters can expect to explore a wide range of exciting career opportunities in the tech industry. Upon completing courses in Data Science, Machine Learning, AI, Data Analytics, AWS, and DevOps, you will be prepared to apply for various in-demand job roles, including:

By mastering these job roles, InfoDrafters students gain skills in Python, SQL, cloud technologies (AWS, Azure), machine learning frameworks, data analysis, DevOps tools (Docker, Kubernetes), automation, and much more. These roles are in high demand across industries like finance, healthcare, technology, and e-commerce, making InfoDrafters graduates highly sought after by employers.

Capstone Projects at InfoDrafters

Our capstone projects at InfoDrafters offer practical exposure by solving real-world industry problems. These projects help you gain confidence and enhance your portfolio.

Delivery Format at InfoDrafters

InfoDrafters offers flexible delivery formats: online live classes, weekend batches, and in-person sessions at our BTM Layout campus. Our courses are designed to suit your schedule and learning style.

Certification from InfoDrafters

Upon completion of any course, InfoDrafters awards industry-recognized certifications, which will boost your credibility and open up new job opportunities.

Fee Details at InfoDrafters

We offer competitive and affordable pricing for all our courses. At InfoDrafters, we believe in delivering quality education at reasonable fees. Scholarships and installment payment options are also available.

Career Support at InfoDrafters

InfoDrafters provides end-to-end career support, including resume-building workshops, interview preparation, and placement assistance. We have a dedicated placement team to guide you through the hiring process.

Comprehensive Career Support at InfoDrafters

At InfoDrafters, we are committed to ensuring our students achieve their career goals by offering end-to-end career support. We understand the competitive nature of the job market, which is why we provide a range of services to help you stand out. Our career support includes:

Resume-Building Workshops

Our expert career coaches help you craft professional and impactful resumes tailored to your target industry. We provide insights into what recruiters look for and how to highlight your skills, certifications, and projects effectively.

Personalized Career Counseling

We offer one-on-one career counseling sessions to understand your career aspirations and align them with job opportunities. Whether you’re a beginner or a professional seeking a career transition, we tailor our support to meet your needs.

Interview Preparation & Mock Interviews

InfoDrafters conducts mock interview sessions to simulate real-world job interviews. Our team provides feedback to help you refine your communication skills, technical responses, and overall presentation. We also prepare you for technical and HR rounds with targeted guidance.

Soft Skills Development

In addition to technical knowledge, we focus on enhancing your soft skills, such as communication, teamwork, problem-solving, and leadership. These are essential traits that employers seek in candidates across industries.

Networking Opportunities

At InfoDrafters, we facilitate networking with industry professionals through webinars, alumni meets, and guest lectures. Building a strong professional network can open doors to job referrals and insights into industry trends.

Job Placement Assistance

Our dedicated placement team works tirelessly to connect you with top companies. We partner with industry leaders and startups to provide our students with access to exclusive job opportunities. We also guide you through the job application process, from creating compelling cover letters to following up with potential employers.

Internship Opportunities

For students looking to gain real-world experience, we provide assistance in securing internships at reputable organizations. These internships can help you gain practical exposure, build your portfolio, and enhance your employability.

Alumni Success Stories

At InfoDrafters, we take pride in our alumni who have gone on to work with leading companies in tech, finance, and consulting. Their success reflects the quality of training and career support we offer. We feature these stories to inspire our current students and showcase the potential career paths available after completing our programs.

Placement Guarantee (if applicable)

Certain programs at InfoDrafters come with a placement guarantee. We assure that, upon successfully completing the program, you will receive dedicated support until you secure a job in your chosen field.

Job Alerts and Notifications

Stay up to date with the latest job openings and internship opportunities through regular job alerts sent directly to our students. We ensure you're the first to know about new positions relevant to your expertise.

With our comprehensive career support, InfoDrafters aims to not only equip you with the technical skills needed for today’s job market but also to guide you every step of the way towards your dream job.

Success Stories from InfoDrafters

Our alumni have successfully transitioned to top companies in various industries. At InfoDrafters, we pride ourselves on our students’ success and continuously work to support their professional journeys.

Upcoming Batches at InfoDrafters

New batches at InfoDrafters start every month. Visit our website to check the upcoming schedule and book your seat in advance.

Demo & Brochure from InfoDrafters

Get a free demo of any course at InfoDrafters and download our course brochure for detailed information. We offer personalized counseling sessions to help you choose the right path.

FAQs & Blogs from InfoDrafters

Visit our FAQ section at InfoDrafters to get answers to common questions about our courses, fee structures, and placement support. Our blog section provides insights into industry trends and learning tips to help you stay ahead.

FAQs at InfoDrafters

Q1. What courses does InfoDrafters offer?

At InfoDrafters, we offer specialized courses in Data Science, Machine Learning, Artificial Intelligence, Data Analytics, AWS, and DevOps. Each course is designed to provide hands-on learning with industry-standard tools.

Q2. Are there any prerequisites for the courses at InfoDrafters?

For most courses at InfoDrafters, no prior experience is required. However, having basic programming knowledge can be helpful. We also offer foundational classes to ensure everyone can follow along.

Q3. How is InfoDrafters different from other institutes?

InfoDrafters stands out by providing a unique blend of theory and hands-on practical learning through real-world projects, industry-recognized certifications, and personalized career support. Our instructors are experienced professionals working in top tech companies.

Q4. How can I enroll in a course at InfoDrafters?

You can enroll in a course by visiting our official website or contacting our admissions team. We also offer free demo sessions, so you can experience the learning environment before committing.

Q5. What is the duration of courses at InfoDrafters?

The duration varies by course. Most of our Data Science and AI courses run for 3-6 months, while our AWS and DevOps training programs are typically 2-3 months. Flexible learning options are available.

Q6. Does InfoDrafters offer any placement support?

Yes, InfoDrafters provides extensive placement support including resume-building workshops, interview preparation, mock interviews, and access to job opportunities. Our dedicated placement team helps guide you through the job search process.

Q7. Can I get a certificate after completing the course?

Yes, all students who successfully complete a course at InfoDrafters receive an industry-recognized certificate, which can boost your resume and job prospects.

Q8. Does InfoDrafters provide online classes?

Yes, InfoDrafters offers both online and offline classes to accommodate different learning preferences. You can choose the format that suits your schedule.

Q9. What is the fee structure for courses at InfoDrafters?

The fee structure varies depending on the course. At InfoDrafters, we offer affordable pricing, and installment payment options are available. You can contact our admissions team for detailed fee information.

Q10. Are there any scholarships available at InfoDrafters?

Yes, InfoDrafters offers merit-based scholarships to deserving students. Please contact our admissions team for more information on eligibility and application procedures.

For more in-depth insights, tips, and resources, visit our Blog Section.