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COURSE FEATURES

DATA ANALYTICS LEAD MENTORS

DATA ANALYTICS COURSE FEE IN BANGALORE

Live Virtual

Instructor Led Live Online

110,000
63,945

  • IABAC® & JAINx® Certification
  • 6-Month | 200+ Learning Hours
  • 20 HOURS LEARNING A WEEK
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

55,000
36,645

  • Self Learning + Live Mentoring
  • IABAC® & JAINx® Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Classroom

In - Person Classroom Training

110,000
69,195

  • IABAC® & JAINx® Certification
  • 6-Month | 200+ Learning Hours
  • 20 HOURS LEARNING A WEEK
  • 10 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship +Job Assistance

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UPCOMING DATA ANALYTICS ONLINE CLASSES IN BANGALORE

UPCOMING DATA ANALYTICS CLASSROOM CLASSES IN BANGALORE

BEST DATA ANALYTICS CERTIFICATIONS

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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WHY DATAMITES INSTITUTE FOR DATA ANALYTICS COURSE

Why DataMites Infographic

SYLLABUS OF DATA ANALYTICS CERTIFICATION IN BANGALORE

MODULE 1: DATA ANALYSIS FOUNDATION

• Data Analysis Introduction
• Data Preparation for Analysis
• Common Data Problems
• Various Tools for Data Analysis
• Evolution of Analytics domain

MODULE 2: CLASSIFICATION OF ANALYTICS

• Four types of the Analytics
• Descriptive Analytics
• Diagnostics Analytics
• Predictive Analytics
• Prescriptive Analytics
• Human Input in Various type of Analytics

MODULE 3: CRIP-DM Model

• Introduction to CRIP-DM Model
• Business Understanding
• Data Understanding
• Data Preparation
• Modeling
• Evaluation
• Deploying
• Monitoring

MODULE 4: UNIVARIATE DATA ANALYSIS

• Summary statistics -Determines the value’s center and spread.
• Measure of Central Tendencies: Mean, Median and Mode
• Measures of Variability: Range, Interquartile range, Variance and Standard Deviation
• Frequency table -This shows how frequently various values occur.
• Charts -A visual representation of the distribution of values.

MODULE 5: DATA ANALYSIS WITH VISUAL CHARTS

• Line Chart
• Column/Bar Chart
• Waterfall Chart
• Tree Map Chart
• Box Plot

MODULE 6: BI-VARIATE DATA ANALYSIS

• Scatter Plots
• Regression Analysis
• Correlation Coefficients

MODULE 1: PYTHON BASICS

• Introduction of python
• Installation of Python and IDE
• Python objects
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators
• Operator’s precedence and associativity

MODULE 2: PYTHON CONTROL STATEMENTS

• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements

MODULE 3: PYTHON DATA STRUCTURES

• Basic data structure in python
• String object basics and inbuilt methods
• List: Object, methods, comprehensions
• Tuple: Object, methods, comprehensions
• Sets: Object, methods, comprehensions
• Dictionary: Object, methods, comprehensions

MODULE 4: PYTHON FUNCTIONS

• Functions basics
• Function Parameter passing
• Iterators
• Generator functions
• Lambda functions
• Map, reduce, filter functions

MODULE 5: PYTHON NUMPY PACKAGE

• NumPy Introduction
• Array – Data Structure
• Core Numpy functions
• Matrix Operations

MODULE 6: PYTHON PANDAS PACKAGE

• Pandas functions
• Data Frame and Series – Data Structure
• Data munging with Pandas
• Imputation and outlier analysis

MODULE 1 : OVERVIEW OF STATISTICS 

  • Descriptive And Inferential Statistics
  • Basic Terms Of Statistics
  • Types Of Data

MODULE 2 : HARNESSING DATA 

  • Random Sampling
  • Sampling With Replacement And Without Replacement
  • Cochran's  Minimum Sample Size
  • Simple Random Sampling
  • Stratified Random Sampling
  • Cluster Random Sampling
  • Systematic Random Sampling
  • Biased Random Sampling Methods
  • Sampling Error
  • Methods Of Collecting Data

MODULE 3 : EXPLORATORY DATA ANALYSIS 

  • Exploratory Data Analysis Introduction
  • Measures Of Central Tendencies: Mean, Median And Mode
  • Measures Of Central Tendencies: Range, Variance And Standard Deviation
  • Data Distribution Plot: Histogram
  • Normal Distribution
  • Z Value / Standard Value
  • Empherical Rule  and Outliers
  • Central Limit Theorem
  • Normality Testing
  • Skewness & Kurtosis
  • Measures Of Distance: Euclidean, Manhattan And MinkowskiDistance

MODULE 4 : HYPOTHESIS TESTING 

  • Hypothesis Testing Introduction
  • P- Value, Confidence Interval
  • Parametric Hypothesis Testing Methods
  • Hypothesis Testing Errors : Type I And Type Ii
  • One Sample T-test
  • Two Sample Independent T-test
  • Two Sample Relation T-test
  • One Way Anova Test

MODULE 5 : CORRELATION AND REGRESSION

  • Correlation Introduction
  • Direct/Positive Correlation
  • Indirect/Negative Correlation
  • Regression
  • Choosing Right Method
     

MODULE 1: COMPARISION AND CORRELATION ANALYSIS

• Data comparison Introduction
• Concept of Correlation
• Calculating Correlation with Excel
• Comparison vs Correlation
• Performing Comparison Analysis on Data
• Performing correlation Analysis on Data
• Hands-on case study 1: Comparison Analysis
• Hands-on case study 2 Correlation Analysis

MODULE 2: VARIANCE AND FREQUENCY ANALYSIS

• Concept of Variability and Variance
• Data Preparation for Variance Analysis
• Business use cases for Variance and Frequency Analysis
• Performing Variance and Frequency Analysis
• Hands-on case study 1: Variance Analysis
• Hands-on case study 2: Frequency Analysis

MODULE 3: RANKING ANALYSIS

• Introduction to Ranking Analysis
• Data Preparation for Ranking Analysis
• Performing Ranking Analysis with Excel
• Insights for Ranking Analysis
• Hands-on Case Study: Ranking Analysis

MODULE 4: BREAK EVEN ANALYSIS

• Concept of Breakeven Analysis
• Make or Buy Decision with Break Even
• Preparing Data for Breakeven Analysis
• Hands-on Case Study: Procurement Decision with break even

MODULE 5: PARETO (80/20 RULE) ANALSYSIS

• Pareto rule Introduction
• Preparation Data for Pareto Analysis
• Insights on Optimizing Operations with Pareto Analysis
• Performing Pareto Analysis on Data
• Hands-on case study: Pareto Analysis

MODULE 6: Time Series and Trend Analysis

• Introduction to Time Series Data
• Preparing data for Time Series Analysis
• Types of Trends
• Trend Analysis of the Data with Excel
• Insights from Trend Analysis
• Hands-on Case Study: Trend Analysis

MODULE 7: DATA ANALYSIS BUSINESS REPORTING

• Management Information System Introduction
• Various Data Reporting formats
• Creating Data Analysis reports as per the requirements
• Presenting the reports
• Hands-on case study: Create Data Analysis Reports

MODULE 1: DATA ANALYTICS FOUNDATION

• Business Analytics Overview
• Application of Business Analytics
• Visual Perspective
• Benefits of Business Analytics
• Challenges
• Classification of Business Analytics
• Data Sources
• Data Reliability and Validity
• Business Analytics Model

MODULE 2: OPTIMIZATION MODELS

• Prescriptive Analytics with Low Uncertainty
• Mathematical Modeling and Decision Modeling
• Break Even Analysis
• Product Pricing with Prescriptive Modeling
• Building an Optimization Model
• Case Study 1 : WonderZon Network Optimization
• Assignment 1 : KERC Inc, Optimum Manufacturing Quantity

MODULE 3: PREDICTIVE ANALYTICS WITH REGRESSION

• Mathematics beyond Linear Regression
• Hands on: Regression Modeling in Excel
• Case Study 2 : Sales Promotion Decision with Regression Analysis
• Assignment 2 : Design Marketing Decision board for QuikMark Inc.

MODULE 4: DECISION MODELING

• Prescriptive Analytics with High Uncertainty
• Comparing Decisions in Uncertain Settings
• Decision Trees for Decision Modeling
• Case Study 3 : Decision modeling of Internet Plans, Monte Carlo Simulation
• Case Study 4 : Kickathlon Sports Retailer Supplier Decision Modeling

MODULE 1: MACHINE LEARNING INTRODUCTION

• What Is ML? ML Vs AI
• ML Workflow, Popular ML Algorithms
• Clustering, Classification And Regression
• Supervised Vs Unsupervised

MODULE 2: ML ALGO: LINEAR REGRESSSION

• Introduction to Linear Regression
• How it works: Regression and Best Fit Line
• Hands-on Linear Regression with ML Tool

MODULE 3: ML ALGO: LOGISTIC REGRESSION

• Introduction to Logistic Regression
• How it works: Classification & Sigmoid Curve
• Hands-on Logistics Regression with ML Tool

MODULE 4: ML ALGO: KNN

• Introduction to KNN
• How It Works: Nearest Neighbor Concept
• Hands-on KNN with ML Tool

MODULE 5: ML ALGO: K MEANS CLUSTERING

• Understanding Clustering (Unsupervised)
• K Means Algorithm
• How it works : K Means theory
• Hands-on K Means Clustering with ML Tool

MODULE 6: ML ALGO: DECISION TREE

• Random Forest Ensemble technique
• How it works: Bagging Theory
• Hands-on Decision Tree with ML Tool

MODULE 7: ML ALGO: SUPPORT VECTOR MACHINE (SVM)

• Introduction to SVM
• How It Works: SVM Concept, Kernel Trick
• Modeling and Evaluation of SVM in Python

MODULE 8: ARTIFICIAL NEURAL NETWORK (ANN)

• Introduction to ANN
• How It Works: Back prop, Gradient Descent
• Modeling and Evaluation of ANN in Python

MODULE 9: PROJECT: PREDICTIVE ANALYTICS WITH ML

• Project Business requirements
• Data Modeling
• Building Predictive Model with ML Tool
• Evaluation and Deployment
• Project Documentation and Report

MODULE 1: GIT INTRODUCTION

• Purpose of Version Control
• Popular Version control tools
• Git Distribution Version Control
• Terminologies
• Git Workflow
• Git Architecture

MODULE 2: GIT REPOSITORY and GitHub

• Git Repo Introduction
• Create New Repo with Init command
• Copying existing repo
• Git user and remote node
• Git Status and rebase
• Review Repo History
• GitHub Cloud Remote Repo

MODULE 3: COMMITS, PULL, FETCH AND PUSH

• Code commits
• Pull, Fetch and conflicts resolution
• Pushing to Remote Repo

MODULE 4: TAGGING, BRANCHING AND MERGING

• Organize code with branches
• Checkout branch
• Merge branches

MODULE 5: UNDOING CHANGES

• Editing Commits
• Commit command Amend flag
• Git reset and revert

MODULE 6: GIT WITH GITHUB AND BITBUCKET

• Creating GitHub Account
• Local and Remote Repo
• Collaborating with other developers
• Bitbucket Git account

MODULE 1: DATABASE INTRODUCTION

• DATABASE Overview
• Key concepts of database management
• CRUD Operations
• Relational Database Management System
• RDBMS vs No-SQL (Document DB)

MODULE 2: SQL BASICS

• Introduction to Databases
• Introduction to SQL
• SQL Commands
• MY SQL workbench installation
• Comments
• import and export dataset

MODULE 3: DATA TYPES AND CONSTRAINTS

• Numeric, Character, date time data type
• Primary key, Foreign key, Not null
• Unique, Check, default, Auto increment

MODULE 4: DATABASES AND TABLES (MySQL)

• Create database
• Delete database
• Show and use databases
• Create table, Rename table
• Delete table, Delete table records
• Create new table from existing data types
• Insert into, Update records
• Alter table

MODULE 5: SQL JOINS

• Inner join
• Outer join
• Left join
• Right join
• Cross join
• Self join

MODULE 6: SQL COMMANDS AND CLAUSES

• Select, Select distinct
• Aliases, Where clause
• Relational operators, Logical
• Between, Order by, In
• Like, Limit, null/not null, group by
• Having, Sub queries

MODULE 7: DOCUMENT DB/NO-SQL DB

• Introduction of Document DB
• Document DB vs SQL DB
• Popular Document DBs
• MongoDB basics
• Data format and Key methods
• MongoDB data management

MODULE 1: BIG DATA INTRODUCTION

• Big Data Overview
• Five Vs of Big Data
• What is Big Data and Hadoop
• Introduction to Hadoop
• Components of Hadoop Ecosystem
• Big Data Analytics Introduction

MODULE 2: HDFS AND MAP REDUCE

• HDFS – Big Data Storage
• Distributed Processing with Map Reduce
• Mapping and reducing stages concepts
• Key Terms: Output Format, Partitioners, Combiners, Shuffle, and Sort
• Hands-on Map Reduce task

MODULE 3: PYSPARK FOUNDATION

• PySpark Introduction
• Spark Configuration
• Resilient distributed datasets (RDD)
• Working with RDDs in PySpark
• Aggregating Data with Pair RDDs

MODULE 4: SPARK SQL and HADOOP HIVE

• Introducing Spark SQL
• Spark SQL vs Hadoop Hive
• Working with Spark SQL Query Language

MODULE 5: MACHINE LEARNING WITH SPARK ML

• Introduction to MLlib Various ML algorithms supported by Mlib
• ML model with Spark ML.
• Linear regression
• logistic regression
• Random forest

MODULE 6: KAFKA and Spark

• Kafka architecture
• Kafka workflow
• Configuring Kafka cluster
• Operations

MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION

• What Is Business Intelligence (BI)?
• What Bi Is The Core Of Business Decisions?
• BI Evolution
• Business Intelligence Vs Business Analytics
• Data Driven Decisions With Bi Tools
• The Crisp-Dm Methodology

MODULE 2: BI WITH TABLEAU: INTRODUCTION

• The Tableau Interface
• Tableau Workbook, Sheets And Dashboards
• Filter Shelf, Rows And Columns
• Dimensions And Measures
• Distributing And Publishing

MODULE 3: TABLEAU: CONNECTING TO DATA SOURCE

• Connecting To Data File , Database Servers
• Managing Fields
• Managing Extracts
• Saving And Publishing Data Sources
• Data Prep With Text And Excel Files
• Join Types With Union
• Cross-Database Joins
• Data Blending
• Connecting To Pdfs

MODULE 4: TABLEAU : BUSINESS INSIGHTS

• Getting Started With Visual Analytics
• Drill Down And Hierarchies
• Sorting & Grouping
• Creating And Working Sets
• Using The Filter Shelf
• Interactive Filters
• Parameters
• The Formatting Pane
• Trend Lines & Reference Lines
• Forecasting
• Clustering

MODULE 5: DASHBOARDS, STORIES AND PAGES

• Dashboards And Stories Introduction
• Building A Dashboard
• Dashboard Objects
• Dashboard Formatting
• Dashboard Interactivity Using Actions
• Story Points
• Animation With Pages

MODULE 6: BI WITH POWER-BI

• Power BI basics
• Basics Visualizations
• Business Insights with Power BI

OFFERED DATA ANALYTICS COURSES IN BANGALORE

DATA ANALYTICS TRAINING REVIEWS

ABOUT DATA ANALYTICS TRAINING IN BANGALORE

A Data Analytics course in Bangalore opens doors to a plethora of opportunities in the city's thriving IT and tech industry. With a strong demand for data-driven insights, graduates of such courses are well-positioned to secure rewarding careers in data analysis, business intelligence, and decision-making roles. According to an Indian Brand Equity Foundation report, the data analytics sector is expected to generate more than 11 million jobs by 2026.

To meet this growing demand, DataMites is offering practical, offline data analytics training in Bangalore. This program not only includes internships but also provides support in finding job placements. The primary objective of this initiative is to prepare a new group of skilled data analysts.

DataMites, a globally recognized institution, provides advanced Data Analytics Courses in Bangalore. It is accredited by IABAC, granting internationally recognized certifications to students upon completing their courses. With a decade of experience, DataMites has successfully educated over 50,000+ learners worldwide. Its premium Certified Data Analytics training in Bangalore is a no-code program that encompasses essential tools like Excel, MySQL, PowerBI, and Tableau.

DataMites offers a well-structured program for data analytics training in Bangalore, consisting of three distinct phases.

Phase1- Pre-Course Self-Study

  1. No-code program
  2. Top-notch video content delivered in a user-friendly learning format

Phase2- Live-online training

  1. Explore a range of flexible learning options, including online, blended, and offline data analytics courses in Bangalore, conveniently situated in BTM and Marathalli
  2. Immerse yourself in intensive sessions, with a commitment of 20 hours per week, spread over 6 months, offering an impressive total of 200+ hours of learning.
  3. Our carefully designed curriculum is tailored to seamlessly align with the current demands and expectations of the industry.
  4. Dive into engaging hands-on projects to acquire practical skills and experience real-world scenarios in the field of data analytics.
  5. Benefit from the invaluable guidance and training provided by seasoned professionals and industry experts who bring their wealth of experience to the classroom.

Phase3- Internship and Job Assistance

  1. Participation in 10 capstone projects to gain practical experience and engagement in a client project.
  2. Earning an internship experience certificate to enhance your professional qualifications.
  3. DataMites job-ready program guarantees that students acquire the essential skills needed to excel in data analytics positions after finishing the course.

DataMites: Certified Data Analytics Course in Bangalore

DataMites introduces its premier Certified Data Analytics Course in Bangalore, renowned as its foremost program, along with a range of specialized courses.

Certified Data Analytics Course: DataMites Certified Data Analytics (CDA) course in Bangalore is a comprehensive program meticulously crafted to provide learners with profound knowledge and hands-on skills in the field of data analytics.

Data Analytics Foundation Course: The Data Analytics Foundation Certification imparts fundamental knowledge of data analysis tools and techniques, enabling individuals to excel in entry-level roles within data-related fields.

Data Analytics For Manager Course: The Data Analytics for Managers Certification equips managers with the skills to make strategic decisions that drive business growth and enhance performance optimization.

Certified HR Analytics Professional: The IABAC Certified HR Analytics Professional certification allows individuals to showcase their dedication to staying at the forefront of HR practices and advancing excellence in the industry.

Certified Finance Analytics Professional: The Certified Finance Analytics Professional Certification signifies your commitment to enhancing your professional skills, providing a competitive edge in the job market.

Certified Healthcare Analytics Professional: The Certified Healthcare Analytics Professional Certification equips you with the expertise needed to excel in this field. Develop proficiency in analyzing healthcare data, uncovering valuable insights, and making a measurable impact on patient care.

DataMites Data Analytics course Syllabus 

Syllabus for Data Analytics Course 

The DataMites® Certified Data Analyst (CDA) Course Bundle is an advanced program that focuses on analytics and business insights. This no-code curriculum enables data analysts and managers to explore advanced analytics even if they don't have a programming background.

As part of its Certified Data Analyst program, DataMites provides a comprehensive bundle of 11 courses.

Data Analysis Foundation 

MODULE 1: DATA ANALYSIS FOUNDATION
MODULE 2: CLASSIFICATION OF ANALYTICS
MODULE 3: CRIP-DM Model
MODULE 4: UNIVARIATE DATA ANALYSIS
MODULE 5: DATA ANALYSIS WITH VISUAL CHARTS
MODULE 6: BI-VARIATE DATA ANALYSIS

Python Foundation 

MODULE 1: PYTHON BASICS
MODULE 2: PYTHON CONTROL STATEMENTS
MODULE 3: PYTHON DATA STRUCTURES
MODULE 4: PYTHON FUNCTIONS
MODULE 5: PYTHON NUMPY PACKAGE
MODULE 6: PYTHON PANDAS PACKAGE

Data Science Foundation

MODULE 1: DATA SCIENCE ESSENTIALS
MODULE 2: DATA ENGINEERING FOUNDATION
MODULE 3: PYTHON FOR DATA ANALYSIS
MODULE 4: VISUALIZATION WITH PYTHON
MODULE 5: STATISTICS
MODULE 6: MACHINE LEARNING INTRODUCTION

Data Analysis Associate

MODULE 1: COMPARISON AND CORRELATION ANALYSIS
MODULE 2: VARIANCE AND FREQUENCY ANALYSIS
MODULE 3: RANKING ANALYSIS
MODULE 4: BREAK-EVEN ANALYSIS
MODULE 5: PARETO (80/20 RULE) ANALSYSIS
MODULE 6: Time Series and Trend Analysis
MODULE 7: DATA ANALYSIS BUSINESS REPORTING

Advanced-Data Analytics
 
MODULE 1: DATA ANALYTICS FOUNDATION
MODULE 2: OPTIMIZATION MODELS
MODULE 3: PREDICTIVE ANALYTICS WITH REGRESSION
MODULE 4: DECISION MODELING

Predictive Analytics with Machine Learning

MODULE 1: MACHINE LEARNING INTRODUCTION
MODULE 2: ML ALGO: LINEAR REGRESSION
MODULE 3: ML ALGO: LOGISTIC REGRESSION
MODULE 4: ML ALGO: KNN
MODULE 5: ML ALGO: K MEANS CLUSTERING
MODULE 6: ML ALGO: DECISION TREE
MODULE 7: ML ALGO: SUPPORT VECTOR MACHINE  (SVM)
MODULE 8: ARTIFICIAL NEURAL NETWORK (ANN)
MODULE 9: PROJECT: PREDICTIVE ANALYTICS WITH ML

Version Control with Git 

MODULE 1: GIT  INTRODUCTION
MODULE 2: GIT REPOSITORY and GitHub
MODULE 3: COMMITS, PULL, FETCH AND PUSH
MODULE 4: TAGGING, BRANCHING AND MERGING
MODULE 5: UNDOING CHANGES
MODULE 6: GIT WITH GITHUB AND BITBUCKET

Database: SQL and MongoDB 

MODULE 1: DATABASE INTRODUCTION
MODULE 2: SQL BASICS
MODULE 3: DATA TYPES AND CONSTRAINTS
MODULE 4: DATABASES AND TABLES (MySQL
MODULE 5: SQL JOINS
MODULE 6: SQL COMMANDS AND CLAUSES
MODULE 7: DOCUMENT DB/NO-SQL DB

Big Data Foundation 

MODULE 1: BIG DATA INTRODUCTION
MODULE 2: HDFS AND MAP-REDUCE
MODULE 3: PYSPARK FOUNDATION
MODULE 4: SPARK SQL and HADOOP HIVE
MODULE 5: MACHINE LEARNING WITH SPARK ML
MODULE 6: KAFKA and Spark

Certified Business Intelligence(BI) Analyst

MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION
MODULE 2: BI WITH TABLEAU: INTRODUCTION
MODULE 3: TABLEAU: CONNECTING TO DATA SOURCE
MODULE 4: TABLEAU: BUSINESS INSIGHTS
MODULE 5: DASHBOARDS, STORIES AND PAGES

Artificial Intelligence Foundation

MODULE 1: ARTIFICIAL INTELLIGENCE OVERVIEW
MODULE 2: DEEP LEARNING INTRODUCTION
MODULE 3: TensorFlow FOUNDATION
MODULE 4: COMPUTER VISION INTRODUCTION
MODULE 5: NATURAL LANGUAGE PROCESSING (NLP)
MODULE 6: AI ETHICAL ISSUES AND CONCERNS

DataMites Data Analytics Course Tools

DataMites Data Analytics courses in Bangalore encompass a wide array of tools, ensuring our students acquire a versatile and comprehensive skill set. Our training covers everything from data analysis and machine learning to data visualization, equipping aspiring data analysts with expertise in a broad spectrum of industry-standard data analytics tools.

  1. Anaconda
  2. Atlassian BitBucket 
  3. MySQL
  4. MongoDB
  5. Hadoop
  6. Apache PySpark
  7. GitHub
  8. Tableau
  9. Power BI
  10. Tensor Flow
  11. Google BERT
  12. Advanced Excel
  13. Numpy
  14. Pandas
  15. Google Colab

Why Choose DataMites for the Data Analytics Institute in Bangalore?

Experienced Faculty: At DataMites, our programs are meticulously crafted and delivered by seasoned industry professionals. One such notable expert is Ashok Veda, a globally recognized AI specialist with an impressive 19 years of experience in Analytics and Data Science. This ensures that our students receive education from practitioners with extensive practical knowledge, providing invaluable insights and hands-on expertise in the data science field.

Diverse Learning Options: DataMites offers a variety of learning formats, catering to both online and offline data analytics classes in Bangalore, accommodating a wide range of learning preferences.

Recognized Certification: DataMites confers the IABAC data analytics training certification in Bangalore, widely respected within the industry. This certification enhances the employability prospects of our students.

Emphasis on Practical Learning: DataMites places significant importance on hands-on learning in its Data Analytics courses in Bangalore. This approach actively involves students in real-world projects and tasks using authentic datasets, ensuring practical experience and the effective application of acquired skills, thereby preparing them for real-world challenges in the field.

Internship Opportunities: DataMites in Bangalore offers valuable internship opportunities to its Data Analytics students, enabling them to gain practical experience and industry exposure. These internships are instrumental in translating theoretical knowledge into real-world scenarios, enhancing students readiness for employment.

Placement Support: DataMites provides dedicated assistance for job placements and career advancement within the data analytics field, facilitating the professional growth of our students.

The Importance of Data Analytics Courses Offering Internship Opportunities in Bangalore

Data Analytics courses with internship opportunities in Bangalore are crucial for aspiring data professionals. They bridge the gap between theoretical knowledge and practical application, preparing students for real-world challenges in a tech-savvy city known for its innovation. This hands-on experience is invaluable for career growth in the data analytics field, making Bangalore an ideal location for such programs.

DataMites distinguishes itself by incorporating internships into our data analytics course in Bangalore. This innovative approach not only imparts theoretical knowledge but also provides students with valuable industry exposure. Additionally, the advantage of earning a data analytics certification from an AI company significantly boosts their capabilities and career opportunities within Bangalore's dynamic data analytics sector.

The Importance of Data Analytics Courses with Job Placement in Bangalore

Data analytics courses with job placement in Bangalore hold immense significance for aspiring professionals. They offer a direct pathway to employment in a competitive job market, bridging the gap between education and industry needs. These programs not only equip students with valuable skills but also ensure their successful entry into the vibrant job landscape of the Bangalore data analytics industry.

DataMites provides a well-rounded data analytics job-ready program that extends beyond technical proficiency, encompassing crucial soft skills training. This all-encompassing approach guarantees that our alumni are well-prepared and highly appealing to employers in Bangalore's flourishing data analytics sector.

Bangalore, often referred to as the "Silicon Valley of India," is a vibrant city known for its rich cultural heritage and diverse cuisine. One prominent IT company in the city is TechVision Solutions, which actively hires data analysts to harness the power of data-driven insights for their projects.

Data analytics jobs in Bangalore span a wide spectrum, including roles such as Data Analysts, Business Intelligence Analysts, Data Scientists, Machine Learning Engineers, and Data Engineers. These professionals are in high demand across various industries, including e-commerce, healthcare, finance, and technology, to drive data-driven decision-making and innovation.

The demand for data analytics professionals in Bangalore is skyrocketing, as industries across the city recognize the critical role of data-driven insights in making informed decisions and gaining a competitive edge in the market. This surge in demand has created abundant career opportunities for skilled data analysts in Bangalore's burgeoning job market.

The thriving IT sector in Bangalore is propelling substantial growth in the realm of data analytics, spurred by an increasing appetite for data-driven insights. With an expanding talent pool, data analysts in Bangalore can anticipate an average yearly income of around INR 8,00,000 as reported on Glassdoor. This expansion not only presents optimistic career opportunities but also plays a pivotal role in elevating the region's technological landscape.

Embark on a journey of profound learning in the realm of data analytics training courses in Bangalore by enrolling at the DataMites Institute. Our meticulously designed programs aim to equip you with the necessary skills to excel in the ever-changing landscape of data analytics. Enrol with DataMites today and become an integral contributor to the data analytics revolution, along with access to other courses like Data Science, Artificial Intelligence, Tableau, Python, MLOps, Machine Learning, Deep Learning, and Data Mining.

ABOUT DATA ANALYTICS COURSE IN BANGALORE

In order to find and analyse hidden patterns, relationships, trends, correlations, and anomalies as well as to support a theory or hypothesis, data analytics is the process of extracting insights from data that has been extracted, converted, and consolidated.

Anyone who wants to learn more about data science and analytics is welcome to enrol in the course. A Bachelor's degree with at least 50% overall or an equivalent grade from a reputable university, ideally in the sciences or computer science, is the minimal requirement for admission to a postgraduate Data Analytics study

  • Top organisations now prioritise data analytics.

  • expanding employment options

  • increasing salaries for data analytics experts

  • Big Data analytics is prevalent everywhere.

  • You will be able to choose from a variety of job titles and be in charge of making decisions for the organisation.

A very solid career in data analytics. There has never been a better time to be a data professional, to put it simply. Data creation is increasing at a rate of 2.5 quintillion bytes each day. Depending on the training level you want, there will be a difference in cost. The cost of data analytics training in Bangalore might be anything between 30,000 and 100,000 Indian rupees.

While obtaining the necessary accreditation from a reputable institution is mandatory, a degree is not usually necessary for a position as a data analyst. The time it takes to acquire the skills required for success in data analytics might range from six weeks to two years. An effective strategy to learn data analytics and become skilled at it is to take a 4-month training course. Data analytics careers can be pursued in a variety of ways, which accounts for a wide spectrum.

Your initial employment can be a junior analyst position if you're new to the profession of data analysis. You might be able to find employment as a data analyst if you have some prior experience with transferable analytical skills.

  • Business Intelligence Analyst

  • Data Analyst

  • Quantitative Analyst

  • Data Analyst Consultant

  • Operations Analyst

  • Marketing Analyst

  • Data Scientist

  • Data Engineer

  • Project Manager

  • IT Systems Analyst

Learning data analytics would benefit from having technical abilities including data analysis, statistical knowledge, data narrative, communication, and problem-solving. For data analysts who frequently collaborate with business stakeholders, business intuition and strategic thinking are also seen as crucial skills.

Yes, businesses do employ recent graduates for jobs as data analysts and data scientists. The majority of entry-level analytics positions do not always require expertise or post-graduation. The only need for employment in these organisations is an engineering degree, and even the stream is irrelevant. These employers just assess your critical reasoning, communication, and aptitude.

  • The national average salary for a Data Analyst is USD 69,517 per year in the United States. (Glassdoor)

  • The national average salary for a Data Analyst in the UK is £36,535 per annum.  (Glassdoor)

  • The national average salary for a Data Analyst in India is INR 6,00,000 per year. (Glassdoor)

  • The national average salary for a Data Analyst in Canada is C$58,843 per year. (Payscale)

  • The national average salary for a Data Analyst in Australia is AUD 85,000 per year. (Glassdoor)

  • The national average salary for a Data Analyst in Germany is 46,328 EUR per annum. (Payscale)

  • The national average salary for a Data Analyst in Switzerland is CHF 95,626 per year. (Glassdoor)

  • The national average salary for a Data Analyst in UAE is AED 106,940 per year. (Payscale)

  • The national average salary for a Data Analyst in Saudi Arabia is SAR 95,960 per year. (Payscale.com)

  • The national average salary for a Data Analyst in South Africa is ZAR 286,090 per year. (Payscale.com)

The income growth that comes with a data analytics career is one of its profitable aspects. The pay for big data positions is rising in line with the demand for qualified data analysts. According to Payscale, a data analyst's average salary in Bangalore is 5,71,344 and glassdoor revealed that a data analyst in Bangalore earns an average amount of 6,50,000 LPA!

The majority of the time, a degree is not required for employment as a data analyst, but it is crucial to get the right certification from an accredited college. It can take anywhere between six weeks and two years to master the skills necessary for success in data analytics. Taking the DataMites data analytics courses in Bangalore is an efficient way to learn about and gain expertise in data analytics. The variety is accounted for by the fact that there are a wide range of distinctive paths one can take to become a data analytics professional.

The phrase "data analytics" has become more popular today due to the rise in data generation. As the curriculum is designed to train applicants from level 1, there are no formal prerequisites for the DataMites Data Analytics Training in Bangalore. However, having prior understanding of programming languages, databases, data structures, mathematics, and algorithms will only be advantageous.

The most valuable certification in data analytics is the Certified Data Analyst Course in Bangalore, which attests to your competence in confidently evaluating data utilising a variety of technologies. Your competence in handling data, doing exploratory research, understanding the fundamentals of analytics, and visualising, presenting, and expanding on your findings are all demonstrated by your certification. IABAC and the esteemed Jain University both acknowledge the DataMites CDA Course.

Your greatest option in the field is the data analyst certification training in Bangalore from DataMites. We provide you with tangible proof that you are qualified to help companies, including well-known multinationals, interpret the data at hand through our data analytics training. It is evidence that, in contrast to a data analytics certificate, you are qualified to carry out the responsibilities of a particular job role in accordance with professional standards.

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FAQ’S OF DATA ANALYTICS TRAINING IN BANGALORE

You may grow in your career and apply for the highest-paying opportunities with the help of data analytics training that is specifically designed for the needs of the sector. With the surge in the use of analytics, having the capacity to work with data is no longer optional. The value of these skills will only increase as more sectors and businesses jump on board.

Both freshmen and undergraduate students may enrol in the course. Following a profession as a data analyst will be the best choice for you if you want to go from an IT profile to a business profile. You will have a decent chance of succeeding in this sector if you have any potential for coding and IT skills. DataMites Data Analytics Certification Courses in Bangalore is also open to non-IT professionals working in industries like hum an resources, banking, marketing, and sales, among others.

The International Association of Business Analytics Certifications has approved the global institute for data science known as DataMitesTM (IABAC).

  • Trained more than 50,000 applicants

  • To provide the greatest instruction possible, the three-phase learning technique was painstakingly created.

  • Participate in beneficial case studies and real-world projects.

  • Obtain the international certifications IABAC and JainX Data Analytics.

  • Job assistance and internships

DataMites charges about 42,000 INR for data analytics certification training in Bangalore.

The sky is the limit for a data analyst with the appropriate training in data analytics and the necessary level of expertise on your part. You will find four months of data analytics courses at DataMites.

It may seem like there is never enough time to learn everything there is to know about a career in data analytics. Data analysts should be familiar with analytics, data visualisation, and data management tools but do not need to have sophisticated coding abilities.

Complete the DataMites Certified Data Analyst Training in Bangalore without a doubt if you're thinking about working as a data analyst. We promise that our curriculum will give you the knowledge, assurance, and certifications needed to start a data analyst career from scratch.

The Certified Data Analyst curriculum, one of the best data analytics programmes offered by DataMites, has earned accreditation from the internationally recognised IABAC and JainX authority, whose credentials you would obtain after completing the course. The most effective method for beginning a career in data analytics is to obtain the DataMites Certified Data Analyst credential.

Data analytics has grown to be a large field, so we want to train knowledgeable experts in the domain. DataMites has highly knowledgeable instructors who have hands-on expertise in the data sector. They will provide you with the greatest learning environment for your next significant endeavour.

For a period of three months, participants in our Flexi-Pass for Data Analytics Certification Training in Bangalore are allowed to attend sessions led by Datamites that are pertinent to any question or revision they wish to pass.

If IABAC and Jain University accredit you, you will receive an IABAC® certification and a JainX certification, which will provide worldwide recognition of the necessary abilities and pave the road for your potential employment in the sector.

You don't have to worry about it. To arrange a class that fits your schedule, simply contact your trainers. In the case of the online data analytics training in Bangalore, each session will be recorded and uploaded so that you may quickly study what you missed at your own pace and comfort. No, it hasn't been this simple to understand data analytics!

Data analytics classroom training in Bangalore helps to educate useful skills and knowledge and allows valid scope for deeper and fluent grasp on the subject matter with a stronger emphasis upon teamwork, group learning, and social interaction.

When registering for the certification examinations and receiving your participation certificate, please bring your photo ID proofs, such as a national ID card and driver's licence.

Yes, after the course is over, DataMites has a specialised Placement Assistance Team (PAT) that will help you find a job and prepare you for interviews.

The three-phase learning procedure is provided by DataMites. To help candidates learn everything they need to know about the programme during Phase 1, candidates will be provided with books and self-study videos. The IABAC Data Analytics Certification, which is a global certification, is awarded at the conclusion of Phase 2, which is the primary portion of the intensive live online course. During the third phase, we will also assign tasks and places.

Payment can be made via;

  • Cash

  • Credit Card

  • PayPal

  • American Express

  • Net Banking

  • Cheque

  • Debit Card

  • Visa

  • Master Card

 

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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