DATA ANALYTICS CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYTICS LEAD MENTORS

DATA ANALYTICS COURSE FEE IN HYDERABAD

Live Virtual

Instructor Led Live Online

110,000
59,378

  • 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
34,028

  • 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
64,253

  • 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 HYDERABAD

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 HYDERABAD

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 HYDERABAD

DATA ANALYTICS TRAINING REVIEWS

ABOUT DATA ANALYTICS TRAINING IN HYDERABAD

The Data Analytics Course in Hyderabad presents an excellent opportunity to acquire in-demand skills and join the thriving data-driven industry in one of India's major tech hubs, opening doors to diverse career prospects. As per the most recent NASSCOM report, the Indian Big Data Analytics industry has the potential to reach a market value of USD 16 billion, with an estimated compound annual growth rate (CAGR) of 26% from 2019 to 2025.

To address this increasing demand, DataMites now provides hands-on, classroom data analytics training in Hyderabad. This program encompasses internships and offers assistance with job placement. The primary goal of this endeavour is to equip a fresh cohort of proficient data analysts.

DataMites, a globally acknowledged institution, delivers advanced Data Analytics Courses in Hyderabad. The institute holds accreditation from IABAC, ensuring that students receive internationally recognized certifications upon course completion. With a decade of experience, DataMites has effectively educated a global community of over 50,000+ learners. Its premium Certified Data Analytics training in Hyderabad is a no-code curriculum covering vital tools such as Excel, MySQL, PowerBI, and Tableau.

DataMites provides a structured three-phase learning approach for data analytics training in Hyderabad:

Phase1- Pre-Course Self-Study

  • No-code program
  • High-quality video content with an easily accessible learning approach

Phase2- Live-online training

  • Flexible learning options encompass online, blended mode, and offline data analytics courses in Hyderabad, with convenient locations in Madhapur.
  • Intensive sessions, spanning 20 hours per week, are distributed over a 6-month duration, providing students with over 200 total learning hours.
  • The curriculum is thoughtfully crafted to align seamlessly with current industry requirements.
  • Engage in hands-on projects to gain practical experience in real-world scenarios.
  • Benefit from expert guidance and training delivered by experienced professionals and industry experts.

Phase3- Internship and Project

  • Engaging in 10 capstone projects to acquire hands-on experience, including involvement in a client project.
  • Attaining an internship experience certificate to bolster your professional credentials.
  • DataMites job-ready program ensures that upon course completion, students possess the vital skills required to excel in data analytics roles.

DataMites Leading Data Analytics Course in Hyderabad

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

Certified Data Analytics Course: This comprehensive course is expertly crafted to provide in-depth knowledge and practical experience in data analytics, preparing students for advanced roles in this field.

Data Analytics Foundation Certification: This Certification provides the essential understanding of data analysis tools and techniques, equipping individuals to succeed in beginner-level positions in data-centric fields.

Data Analytics for Managers Certification: Tailored for managers, this certification focuses on teaching strategic decision-making skills that enhance business growth and improve performance, using data analytics.

Certified HR Analytics Professional: This certification represents a commitment to maintaining cutting-edge HR practices and promoting industry excellence.

Certified Finance Analytics Professional Certification: This certification highlights your commitment to enhancing your finance analytics skills, giving you an edge in the competitive job market.

Certified Healthcare Analytics Professional Certification: This program equips you with the expertise needed for a successful career in healthcare analytics, focusing on analyzing healthcare data and generating impactful insights for patient care improvement.

Syllabus for Data Analytics Course 

The DataMites® Certified Data Analyst (CDA) Course Bundle offers an advanced program centred on analytics and business insights. Designed as a no-code curriculum, it allows data analysts and managers to delve into advanced analytics without requiring a background in programming.

In its Certified Data Analyst program, DataMites offers an extensive package that includes 11 different 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 training in Hyderabad offers a diverse range of tools, equipping students with a broad set of skills. The curriculum includes topics like data analysis, machine learning, and data visualization, preparing future data analysts with proficiency in a wide array of standard tools used in the data analytics industry.

  • Apache PySpark
  • GitHub
  • Tableau
  • Power BI
  • Anaconda
  • Atlassian BitBucket 
  • MySQL
  • MongoDB
  • Hadoop
  • Tensor Flow
  • Google BERT
  • Advanced Excel
  • Numpy
  • Pandas
  • Google Colab

Why Choose DataMites for a Data Analytics Course in Hyderabad?

Seasoned Faculty: DataMites' programs are thoughtfully designed and delivered by experienced industry professionals, including the globally recognized AI specialist, Ashok Veda, who boasts an impressive 19 years of experience in Analytics and Data Science. This ensures that our students receive education from experts with extensive practical expertise, offering invaluable insights and hands-on knowledge in the field of data science.

Varied Learning Options: DataMites offers a range of learning formats, encompassing both online and offline data analytics classes in Hyderabad, accommodating diverse learning preferences.

Recognized Certification: DataMites awards the IABAC data analytics training certification in Hyderabad, widely acknowledged within the industry, thereby enhancing the employability prospects of our students.

Practical Learning Emphasis: DataMites places a significant emphasis on hands-on learning in its Data Analytics courses in Hyderabad. This approach allows students to actively participate in real-world projects and work with actual datasets, ensuring practical experience and the practical application of acquired skills, thereby preparing them for real-world challenges in the field.

The Significance of Data Analytics Course Providing Internship Experiences in Hyderabad

Data Analytics courses with Internship in Hyderabad are notable for offering hands-on internship experiences. These internships serve as a vital link between academic theory and practical application, providing essential real-world skills. This approach significantly boosts employability and prepares students for the demands of the data analytics industry.

DataMites in Hyderabad provides valuable internship opportunities to its Data Analytics students, allowing them to gain real-world experience and exposure to the industry. These internships are instrumental in translating theoretical knowledge into practical scenarios, enhancing students' readiness for employment.

The Value of Data Analytics Training Offering Job Placement in Hyderabad

Data Analytics courses with Job Placement in Hyderabad are highly valued for their career-oriented approach. They not only impart essential analytics skills but also ensure job placement upon completion. This integration of training and employment opportunities prepares students for immediate entry into the workforce. It's a key factor in building a successful career in data analytics.

DataMites offers a comprehensive data analytics job-ready program, which goes beyond just technical expertise to include vital soft skills training. This holistic method ensures that graduates are fully equipped and highly attractive to potential employers in Hyderabad's thriving data analytics industry.

Hyderabad, known as the "City of Pearls," is a vibrant and historic city in India, famous for its rich culture and heritage. It is also renowned as a major IT hub and is home to prominent companies like Infosys, TCS, and Microsoft, all offering roles for data analysts. These firms are integral to the city's contribution to India's IT exports and its vibrant innovation ecosystem. This landscape provides a fertile ground for data analysts seeking to advance their careers in the IT sector.

The demand for data analytics professionals in Hyderabad is on the rise, driven by the city's thriving IT and business sectors. As companies in Hyderabad increasingly depend on data-driven insights for decision-making, there's a rising demand for roles like Business Intelligence Analyst, Data Scientist, and Data Engineer. These data analytics jobs are opening up significant opportunities for professionals in the region.

Hyderabad’s booming IT industry is fueling rapid growth in the field of data analytics, driven by a rising demand for data-driven insights. With a burgeoning talent pool, data analysts in Hyderabad can expect an average annual salary of approximately INR 7,29,383 according to Glassdoor. This expansion not only offers promising career prospects but also plays a crucial role in advancing the region's technology landscape.

Embark on a transformative learning experience in the field of data analytics training course in Hyderabad by enrolling at the DataMites Institute. Our carefully crafted courses are designed to provide you with the essential skills required to thrive in the constantly evolving world of data analytics. Join DataMites today to play a key role in the data analytics revolution. In addition to data analytics, you'll have access to a range of other courses including Data Science, Artificial Intelligence, Tableau, Python, MLOps, Machine Learning, Deep Learning, and Data Mining.

ABOUT DATA ANALYTICS COURSE IN HYDERABAD

The science of studying unstructured data in order to draw inferences about it is known as data analytics. Numerous data analytics approaches and procedures have been mechanised into mechanical procedures and algorithms that analyse raw data for human consumption.

In the fields of engineering, computer science, and management, there are postgraduate courses in data science accessible. A Bachelor's degree with at least 50% overall or an equivalent grade from a reputable university, ideally in the fields of science or computer science, is the minimum requirement for enrollment in a data analytics course.

One of the most sought-after careers in 2022 will be data analysis. India is the second major centre for data-related employment after the United States. Depending on the training level you want, there will be a difference in cost. The cost of data analytics training in Hyderabad might be anything between 30,000 and 100,000 Indian rupees.

For a position as a data analyst, a degree is not usually necessary, but obtaining the necessary certification from an approved college is essential. Acquire the skills required for success in data analytics, it can take anything from six weeks to two years. An effective method to learn about and become skilled at data analytics is to take the DataMites 4-month data analytics training course. The variety is explained by the fact that there are numerous unique routes one might take to become a data analytics professional.

If you're new to the field of data analysis, your first role can be as a junior analyst. If you've had any previous experience and have some transferrable analytical skills, you might be able to get work as a data analyst. 

  • Business Intelligence Analyst

  • Data Analyst

  • Data Scientist

  • Data Engineer

  • Quantitative Analyst

  • Marketing Analyst

  • Project Manager

  • IT Systems Analyst

  • Data Analyst Consultant

  • Operations Analyst

The benefits of a career in data analytics won't manifest without extensive training and effort. Data analysts require a particular set of skills to succeed in their line of work, and while having a technical background is important, they also need a few soft skills.

  • Data Clearing and Information Display

  • Linear algebra, MATLAB, R, Python, and NoSQL Machine Learning Calculus

  • Communication and Critical Thinking in Excel for Windows

  • 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 is £36,535 per annum in the UK.  (Glassdoor)

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

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

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

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

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

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

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

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

Salary packages will undoubtedly remain attractive to qualified candidates as the supply of talent is running low, as we previously stated. Compared to other IT careers, switching to a data analytics career has far more financial advantages. As per Payscale, a data analyst's average salary in Hyderabad is 5,05,108 and the data analyst in Hyderabad earns an average amount of 5,31,548 LPA! (Glassdoor)

There are many outstanding work prospects in this industry because there is a growing need for data specialists and a limited supply. The ideal place for you, if you want to pursue a career in analytics, is DataMites. The primary mentors are knowledgeable professionals who are industry-oriented, and the course curriculum is well-planned. We provide projects and internship possibilities for practical experience!

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 Course in Hyderabad. However, having prior understanding of programming languages, databases, data structures, mathematics, and algorithms will only be advantageous.

The Certified Data Analyst Course in Hyderabad, which validates your ability to confidently evaluate data using a variety of technologies, is the highest credential in data analytics. A certification shows that you are competent in handling data, doing exploratory research, understanding the foundations of analytics, and visualising, presenting, and elaborating on your findings. IABAC and the famous Jain University both acknowledge the DataMites Certified Data Analyst Training in Hyderabad.

The finest training in the field is the DataMites data analyst certification programme in Hyderabad. Our data analytics course equips you with the tangible evidence you need to prove your suitability for helping organisations, including renowned international corporations, interpret the data at hand. It is evidence that you are qualified to carry out the responsibilities of a particular work role in accordance with industry standards, as opposed to a data analytics certification.

Yes, however, it doesn't need highly developed programming abilities. The fundamentals of Python or R must be mastered, as must expertise in a querying language like SQL. Fortunately, learning the fundamentals of these languages is simple. There is nothing DataMites cannot teach you.

Although both business analytics and data analytics have their own significance, there are some essential differences between them. Data analytics is the process of examining databases to determine the data they contain. You can take raw data and find patterns using data analysing tools to gain insightful knowledge. Business analytics is a practical use of statistical analysis that focuses on giving suggestions that can be put into practise.

There are myriad things to secure your debut job in this in-demand industry, and data analytics jobs may be found in a broad range of sectors. DataMites is intended to help you upskill so that you may become a data analytics professional, whether you're just starting out in the professional world or switching to a new field.

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FAQ’S OF DATA ANALYTICS TRAINING IN HYDERABAD

Both amateurs and experts are welcome to enrol in the training. The best option for you if you want to switch from an IT to a business profile is a profession as a data analyst. You will be well-suited to succeed in this industry if you are skilled in coding and IT. Anyone is welcome to enrol in DataMites Training, including those who perform in the banking, human resources, marketing, or sales sectors.

DataMitesTM is a global institute for data science that has received approval from the International Association of Business Analytics Certifications (IABAC).

  • more than 50,000 candidates were trained

  • The three-phase learning technique was painstakingly constructed to deliver the best training possible.

  • Participate in worthwhile initiatives and case studies.

  • Get the JainX Data Analytics Certification and the global IABAC certification.

  • Assistance finding internships and jobs

The completion of data analytics training and achievement of certified data analytics specialist status have various advantages in a data-driven environment. Training in data analytics will be provided to you by DataMites for four months.

One of DataMites' top data analytics programmes, the Certified Data Analyst curriculum, has been acknowledged by the illustrious organisations IABAC and JainX, whose credentials you would earn upon successfully completing the programme. Earning the DataMites Certified Data Analyst Training in Hyderabad is encouraged to launch a career in data analytics.

Data analytics has become a broad topic, thus we wish to train informed experts in it. DataMites' instructors are very knowledgeable and have practical expertise in the data industry, so they can offer the best learning environment for your future significant step.

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

You'll surely receive a certificate of completion for your data analytics course in Hyderabad when it's all said and done

We do provide on-demand classroom instruction at your facility. Although you can study from anywhere in the world with the help of our instruction, you won't need to adhere to a strict timetable or commute from one location to another. There are benefits to self-paced learning with a curriculum that is just as useful as in-person instruction.

Carry your valid Photo documents, such as a passport or driver's licence, when you register for the certification exams and receive your participation certificate.

Three stages of learning are offered by DataMites. For self-study in Phase 1, candidates will be given books and videos to assist them learn everything they need to know about the programme. The first part of the intensive live online training is Phase 2, and after you complete it, you'll obtain the IABAC Data Analytics Certification, a universal credential. And we'll assign projects and placements in the third phase.

The DataMites Data Analytics Training is scrupulously developed and structured in this way so that newcomers to the field are given a thorough overview of the entire subject. You can sign up right away if learning analytics appeals to you.

Yes, after the course is finished, our dedicated Placement Assistance Team (PAT) at DataMites will offer you placement services, including help finding a job and interview preparation.

We take payments using; 

  • Cash

  • Credit Card

  • PayPal

  • Visa

  • Master Card

  • American Express

  • Net Banking

  • Cheque

  • Debit 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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