DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN HYDERABAD

Live Virtual

Instructor Led Live Online

110,000
55,451

  • IABAC® 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
34,900

  • Self Learning + Live Mentoring
  • IABAC® 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
60,451

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

ARE YOU LOOKING TO UPSKILL YOUR TEAM ?

Enquire Now

UPCOMING DATA ANALYST ONLINE CLASSES IN HYDERABAD

BEST CERTIFIED DATA ANALYST 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.

images not display images not display

WHY DATAMITES INSTITUTE FOR DATA ANALYST COURSE

Why DataMites Infographic

SYLLABUS OF DATA ANALYST 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 Variables
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators

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
• Basics of List
• List: Object, methods
• Tuple: Object, methods
• Sets: Object, methods
• Dictionary: Object, methods

MODULE 4: PYTHON FUNCTIONS

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

MODULE 1 : OVERVIEW OF STATISTICS 

  • Introduction to 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
  • Types of Sampling
  • Simple Random Sampling
  • Stratified Random Sampling
  • Cluster Random Sampling
  • Systematic Random Sampling
  • Multi stage Sampling
  • 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 & Properties
  • Z Value / Standard Value
  • Empherical Rule  and Outliers
  • Central Limit Theorem
  • Normality Testing
  • Skewness & Kurtosis
  • Measures Of Distance: Euclidean, Manhattan And MinkowskiDistance
  • Covariance & Correlation

MODULE 4 : HYPOTHESIS TESTING 

  • Hypothesis Testing Introduction
  • P- Value, Critical Region
  • Types of Hypothesis Testing
  • Hypothesis Testing Errors : Type I And Type Ii
  • Two Sample Independent T-test
  • Two Sample Relation T-test
  • One Way Anova Test
  • Application of Hypothesis testing

MODULE 1: COMPARISION AND CORRELATION ANALYSIS

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

MODULE 2: VARIANCE AND FREQUENCY ANALYSIS

• Variance Analysis Introduction
• Data Preparation for Variance Analysis
• Performing Variance and Frequency Analysis
• Business use cases for Variance Analysis
• Business use cases for 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: Manufacturing

MODULE 5: PARETO (80/20 RULE) ANALSYSIS

• Pareto rule Introduction
• Preparation Data for Pareto Analysis,
• Performing Pareto Analysis on Data
• Insights on Optimizing Operations with Pareto Analysis
• 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

MODULE 7: DATA ANALYSIS BUSINESS REPORTING

• Management Information System Introduction
• Various Data Reporting formats
• Creating Data Analysis reports as per the requirements

MODULE 1: DATA ANALYTICS FOUNDATION

• Business Analytics Overview
• Application of Business Analytics
• Benefits of Business Analytics
• Challenges
• Data Sources
• Data Reliability and Validity

MODULE 2: OPTIMIZATION MODELS

• Predictive Analytics with Low Uncertainty;Case Study
• Mathematical Modeling and Decision Modeling
• Product Pricing with Prescriptive Modeling
• Assignment 1 : KERC Inc, Optimum Manufacturing Quantity

MODULE 3: PREDICTIVE ANALYTICS WITH REGRESSION

• Mathematics behind Linear Regression
• Case Study : Sales Promotion Decision with Regression Analysis
• Hands on Regression Modeling in Excel

MODULE 4: DECISION MODELING

• Predictive Analytics with High Uncertainty
• Case Study-Monte Carlo Simulation
• Comparing Decisions in Uncertain Settings
• Trees for Decision Modeling
• Case Study : Supplier Decision Modeling - Kickathlon Sports Retailer

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;
• Classification & Sigmoid Curve
• Hands-on Logistics Regression with ML Tool

MODULE 4: ML ALGO: KNN

• Introduction to KNN; Nearest Neighbor
• Regression with KNN
• Hands-on: KNN with ML Tool

MODULE 5: ML ALGO: K MEANS CLUSTERING

• Understanding Clustering (Unsupervised)
• Introduction to KMeans and How it works
• Hands-on: K Means Clustering

MODULE 6: ML ALGO: DECISION TREE

• Decision Tree and How it works
• 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
• Hands-on: SVM with ML Tool

MODULE 8: ARTIFICIAL NEURAL NETWORK (ANN)

• Introduction to ANN, How It Works
• Back propagation, Gradient Descent
• Hands-on: ANN with ML Tool

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

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
• Self Join, Cross join
• Windows Functions: Over, Partition, Rank

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

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

MODULE 1: TABLEAU FUNDAMENTALS

• Introduction to Business Intelligence & Introduction to Tableau
• Interface Tour, Data visualization: Pie chart, Column chart, Bar chart.
• Bar chart, Tree Map, Line Chart
• Area chart, Combination Charts, Map
• Dashboards creation, Quick Filters
• Create Table Calculations
• Create Calculated Fields
• Create Custom Hierarchies

MODULE 2: POWER-BI BASICS

• Power BI Introduction
• Basics Visualizations
• Dashboard Creation
• Basic Data Cleaning
• Basic DAX FUNCTION

MODULE 3: DATA TRANSFORMATION TECHNIQUES

• Exploring Query Editor
• Data Cleansing and Manipulation:
• Creating Our Initial Project File
• Connecting to Our Data Source
• Editing Rows
• Changing Data Types
• Replacing Values

MODULE 4: CONNECTING TO VARIOUS DATA SOURCES

• Connecting to a CSV File
• Connecting to a Webpage
• Extracting Characters
• Splitting and Merging Columns
• Creating Conditional Columns
• Creating Columns from Examples
• Create Data Model

DATA ANALYST TRAINING REVIEWS

ABOUT DATA ANALYST TRAINING IN HYDERABAD

DataMites Institute is a premier training provider in the field of Data Analytics, offering a comprehensive Data Analyst course in Hyderabad. Known as the "City of Pearls," Hyderabad is not only celebrated for its rich cultural heritage but also for its thriving IT and tech industry. As data-driven decision-making becomes essential across industries, Hyderabad provides an excellent backdrop for aspiring data analysts to kick-start their careers. DataMites is committed to delivering world-class Data Analyst training to meet the growing demand for skilled professionals in data analytics.

Located in a prominent area of Hyderabad, DataMites' offline classes cover critical topics such as data analysis techniques, machine learning applications, and data visualization tools. The six-month course consists of over 200 learning hours, specifically tailored to equip students with the practical skills needed to thrive in the data-driven job market. Graduates earn globally recognized certifications from IABAC® and NASSCOM FutureSkills, which are highly regarded by employers worldwide.

Hyderabad’s rapid growth as a tech hub makes it an ideal city for a data analytics career. DataMites’ Certified Data Analyst course trains students in essential tools like Excel, SQL, Tableau, Power BI, Python, and R. With a reduced course fee of 42,000 INR, along with certifications from IABAC® and  NASSCOM FutureSkills, it offers exceptional value for students seeking to advance their careers.

The demand for data analytics professionals in Hyderabad is steadily rising, with salaries reflecting this trend. According to Glassdoor reports, data analysts in Hyderabad earn an average annual salary of approximately 6,00,000 INR. With the data analytics sector continuing to grow, advancing your skills at DataMites can be a crucial step toward building a successful career in this field.

Data Analyst Training in Hyderabad

Hyderabad is a city brimming with opportunities, especially for those looking to enter the data analytics field. The rapid growth of industries reliant on data has created a significant demand for data analysts who can convert raw data into actionable insights. DataMites Institute’s Data Analyst training in Hyderabad is meticulously designed to equip students with the essential skills required to excel in this dynamic field. The training covers all aspects of data analytics, from foundational concepts to advanced analytical techniques, ensuring that students are well-prepared to meet industry demands.

At DataMites, the emphasis is not just on theoretical knowledge but also on practical, hands-on learning. The institute offers a variety of flexible learning options, including online, blended, and offline courses, to cater to different learning preferences. Whether you are a recent graduate, a working professional, or someone looking to transition into a new career, DataMites has a course that suits your needs.

Why Choose DataMites for Data Analyst Training in Hyderabad?

DataMites Institute distinguishes itself as a leading training provider for data analytics in Hyderabad. Here’s why DataMites is the preferred choice for aspiring data analysts:

  1. Offline Classes in Hyderabad: DataMites offers in-person learning in Hyderabad, providing a structured classroom environment with direct interaction with faculty, perfect for students who prefer face-to-face training.

  2. Experienced Faculty & Ashok Veda: Courses are led by industry experts, including Ashok Veda, the lead mentor at DataMites. With over 19 years of experience in data analytics, Ashok Veda ensures that students gain practical, industry-relevant skills and knowledge.

  3. Comprehensive Curriculum: The six-month course covers essential tools such as Excel, SQL, Tableau, Power BI, Python, and R, offering more than 200 hours of instruction in data analysis and machine learning techniques.

  4. Global Certifications: Graduates receive certifications from IABAC® and NASSCOM FutureSkills, internationally recognized credentials that enhance employability across global job markets.

  5. Hands-On Projects: The course includes 10 capstone projects and one client project, providing hands-on experience with real-world data to help students become job-ready.

  6. Internships & Job Support: DataMites offers internship opportunities and job placement assistance, leveraging industry connections to help students secure relevant positions.

  7. Exclusive Learning Community: DataMites promotes a collaborative learning environment where students can network, share ideas, and stay informed about industry trends.

  8. Affordable Pricing & Scholarships: With a reduced fee of 42,000 INR, down from 55,000 INR, and available scholarships, the course offers exceptional value for aspiring data analysts in Hyderabad.

Data Analyst Course Offerings at DataMites

DataMites Institute offers a variety of Data Analyst courses tailored to different skill levels and career goals. These courses are meticulously designed to provide comprehensive training in data analysis, equipping students with the knowledge and skills needed to succeed in the competitive field of data analytics.

  1. Certified Data Analyst Course: This flagship course provides in-depth training in data analysis, covering essential tools and techniques. Students will gain a solid foundation in data analytics and hands-on experience with tools such as Excel, MySQL, PowerBI, and Tableau.

  2. Data Analyst Foundation Course: This course is ideal for beginners who want to start their journey in data analytics. It covers the basics of data analysis, making it an excellent starting point for those new to the field.

  3. Data Analytics for Managers Course: Tailored for professionals in managerial positions, this course helps managers make data-driven decisions to enhance business performance.

  4. Certified HR Analytics Professional: Focused on HR professionals, this course equips learners with the skills to analyze HR data and derive insights that drive better organizational decisions.

  5. Certified Finance Analytics Professional: This course is designed for finance professionals looking to enhance their analytical skills and gain a competitive edge in the job market.

  6. Certified Healthcare Analytics Professional: Specially designed for healthcare professionals, this course provides the expertise needed to analyze healthcare data and improve patient care.

Three-Phase Learning Methodology

DataMites employs a unique three-phase learning methodology to ensure that students receive a comprehensive education in data analytics. This structured approach helps students build their knowledge step-by-step, starting with foundational concepts and progressing to advanced topics.

  1. Phase 1: Pre-Course Self-Study: The first phase involves self-paced learning, where students are provided with high-quality video content and study materials. This phase allows students to familiarize themselves with the basics of data analytics before diving into the more intensive training sessions.
  2. Phase 2: Live-Online Training: The second phase is where the core learning occurs. Students participate in live online training sessions led by experienced instructors. These sessions are interactive and designed to provide a deep understanding of data analytics concepts. Students also work on hands-on projects during this phase to apply their learning to real-world scenarios.
  3. Phase 3: Internship and Job Assistance: The final phase focuses on gaining practical experience through internships and receiving job placement support. DataMites has strong industry connections that help students secure internships and job placements. This phase is crucial for students to bridge the gap between theoretical knowledge and practical application.

Comprehensive Data Analyst Syllabus at DataMites in Hyderabad

DATA ANALYSIS FOUNDATION – 6 MODULES

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

PYTHON FOUNDATION – 4 MODULES

  1. MODULE 1: PYTHON BASICS
  2. MODULE 2: PYTHON CONTROL STATEMENTS
  3. MODULE 3: PYTHON DATA STRUCTURES
  4. MODULE 4: PYTHON FUNCTIONS

STATISTICS ESSENTIALS – 4 MODULES

  1. MODULE 1 : OVERVIEW OF STATISTICS 
  2. MODULE 2 : HARNESSING DATA 
  3. MODULE 3 : EXPLORATORY DATA ANALYSIS 
  4. MODULE 4 : HYPOTHESIS TESTING 

DATA ANALYSIS ASSOCIATE – 7 MODULES

  1. MODULE 1: COMPARISON AND CORRELATION ANALYSIS
  2. MODULE 2: VARIANCE AND FREQUENCY ANALYSIS
  3. MODULE 3: RANKING ANALYSIS
  4. MODULE 4: BREAK EVEN ANALYSIS
  5. MODULE 5: PARETO (80/20 RULE) ANALYSIS
  6. MODULE 6: TIME SERIES AND TREND ANALYSIS
  7. MODULE 7: DATA ANALYSIS BUSINESS REPORTING

ADVANCED DATA ANALYTICS – 4 MODULES

  1. MODULE 1: DATA ANALYTICS FOUNDATION
  2. MODULE 2: OPTIMIZATION MODELS
  3. MODULE 3: PREDICTIVE ANALYTICS WITH REGRESSION
  4. MODULE 4: DECISION MODELING

PREDICTIVE ANALYTICS WITH ML – 8 MODULES

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

DATABASE: SQL AND MONGODB – 7 MODULES

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

BIG DATA FOUNDATION – 4 MODULES

  1. MODULE 1: BIG DATA INTRODUCTION
  2. MODULE 2: HDFS AND MAP REDUCE
  3. MODULE 3: PYSPARK FOUNDATION
  4. MODULE 4: SPARK SQL and HADOOP HIVE

BI ANALYST – 4 MODULES

  1. MODULE 1: TABLEAU FUNDAMENTALS
  2. MODULE 2: POWER-BI BASICS
  3. MODULE 3: DATA TRANSFORMATION TECHNIQUES
  4. MODULE 4: CONNECTING TO VARIOUS DATA SOURCES

DataMites Data Analyst Course Tools

DataMites ensures that its students are well-versed in the most widely used tools in the data analytics industry. The course covers a range of tools essential for data analysis, data visualization, machine learning, and more. Some of the tools students will gain hands-on experience with include:

  1. Excel: A fundamental tool for data analysis, used for data manipulation, visualization, and reporting.

  2. MySQL: A popular relational database management system used for managing and querying large datasets.

  3. PowerBI: A powerful business intelligence tool for creating interactive visualizations and business reports.

  4. Tableau: Another leading business intelligence tool, widely used for data visualization and reporting.

  5. Python: The go-to programming language for data analytics, widely used for data manipulation and machine learning.

  6. MongoDB: A NoSQL database, essential for working with unstructured data.

  7. Apache PySpark: A tool for big data processing and analysis.

  8. Git and GitHub: Essential for version control and collaboration in data analytics projects.

The Importance of Data Analyst Courses with Internship Opportunities in Hyderabad

Internships play a crucial role in the learning process for aspiring data analysts. They provide students with the opportunity to apply their theoretical knowledge to real-world projects and gain practical experience. In a city like Hyderabad, where the tech industry is thriving, internships are invaluable for gaining industry exposure and establishing connections that can lead to future job opportunities.

DataMites recognizes the importance of internships and incorporates them into its Data Analyst courses. By offering internship opportunities, DataMites ensures that students are not only job-ready but also have the experience needed to succeed in the competitive data analytics industry.

The Value of Data Analytics Courses with Job Placement Support in Hyderabad

Data analytics courses with job placement support in Hyderabad are essential for aspiring professionals. They bridge the gap between academic learning and industry requirements, offering a direct path to employment in a competitive job market. These programs not only provide crucial skills but also ensure a smooth transition into Hyderabad’s expanding data analytics sector.

DataMites offers a thorough training program that goes beyond just technical skills to include vital soft skills training, ensuring that graduates are exceptionally prepared and competitive. With the growing technological landscape, the demand for roles such as Data Analysts, Business Intelligence Analysts, and Data Scientists is on the rise. DataMites’ programs are specifically designed to address this increasing need, equipping students with the expertise required to excel in this evolving field.

By choosing DataMites, you not only set yourself up for a successful career in data analytics but also gain access to a wide array of additional courses, including Data Science, Tableau, Python, MLOps, Artificial Intelligence , Machine Learning, Deep Learning, and Data Mining. This comprehensive approach ensures you are well-prepared to thrive in the dynamic world of data analytics. Begin your journey with DataMites today and position yourself for success in this rapidly growing industry.

ABOUT DATA ANALYST COURSE IN HYDERABAD

Data Analyst courses are open to recent graduates, career switchers, and skill enhancers. No specific background is required, but basic knowledge of statistics and computer applications can be helpful. Courses cater to all experience levels.

To study data analytics effectively, strong analytical skills and proficiency in statistical software and programming languages like Python or R are crucial. Additionally, a solid grasp of data visualization tools is essential for presenting insights clearly and compellingly.

A Data Analyst course teaches the essentials of data collection, processing, and analysis to extract insights. It covers statistical methods, data visualization, and analytical tools. The goal is to equip learners with skills to interpret data and support decision-making across industries.

A Data Analyst collects, processes, and performs statistical analyses on data to help organizations make informed decisions. They interpret complex datasets and create reports to provide actionable insights. Their role involves identifying trends, patterns, and anomalies to support business strategies.

No, coding knowledge is not strictly necessary to become a data analyst. Many tools and software used in data analysis have user-friendly interfaces that allow for data manipulation without extensive programming skills. However, having some coding knowledge can enhance your analytical capabilities and expand your job opportunities.

Yes, you can transition to a data analyst career without an engineering background. Many data analysts come from various fields, using tools and skills learned through specialized courses. A solid foundation in data analysis, statistics, and tools like Excel or SQL is key.

In Hyderabad, data analysts are harnessing AI and machine learning to boost predictive analytics, emphasizing real-time data processing and visualization for agile decision-making. With increasing regulatory demands and cyber threats, data privacy and security are also gaining significant focus.

The average pay for a data analyst in Hyderabad ranges from ₹5 lakh to ₹10 lakh per annum. According to Glassdoor, this range reflects the varying levels of experience and expertise within the field. Data analysts in this city can expect competitive compensation based on their skills and qualifications.

The Certified Data Analyst course in Hyderabad is highly regarded for its comprehensive curriculum and hands-on training. It equips participants with essential skills in data analysis, visualization, and tools like Excel and SQL. This course is ideal for those looking to build a strong foundation in data analytics.

Becoming a data analyst in Hyderabad usually takes 4 to 12 months, depending on prior experience and training intensity. Enrolling in a comprehensive course or certification can speed up this process. Gaining practical experience through projects or internships is also essential.

Hyderabad's booming tech sector offers a bright future for data analysts, driven by increasing demand for data-driven decisions. Advancements in AI and machine learning further enhance career opportunities and specialization. Data-centric industries' growth guarantees a steady need for skilled professionals.

To excel in data analyst courses in Hyderabad, choose a reputable institute that offers hands-on internships and practical experience. Opt for programs with a robust curriculum, seasoned instructors, and job placement support. This approach ensures a comprehensive and impactful learning journey.

Starting a career as a data analyst at 40 is entirely feasible, especially in a vibrant city like Hyderabad. Many professionals transition into data analytics later in their careers by leveraging prior experience and acquiring relevant skills. With the right training and certifications, age is not a barrier.

DataMites is widely recognized for its comprehensive data analyst training in Hyderabad. Their programs offer practical insights and hands-on experience, making it a strong choice for aspiring data professionals. Additionally, their industry-aligned curriculum and expert instructors enhance the learning experience.

Data analysts must be skilled in programming languages like Python and R for data manipulation and analysis, and SQL for managing and querying databases. Mastery of these tools is essential for effective data-driven decision-making.

Learning data analytics sharpens decision-making by turning data into actionable insights and enhances career prospects across industries. DataMites excels in providing top-notch training for these valuable skills.

Yes, you can study data analysis after completing your 12th standard with PCB. Many data analysis programs and courses are open to students from diverse academic backgrounds. It may be helpful to gain some foundational knowledge in mathematics and statistics to support your studies.

Yes, Hyderabad offers several entry-level opportunities in data analysis for freshers. Companies across various sectors, including IT and finance, frequently seek junior data analysts. Job portals and company career pages are good places to find these positions.

To start a career as a Data Analyst in Hyderabad, begin by acquiring relevant skills through a reputable course or certification in data analytics. Build a strong portfolio by working on real-world projects or internships. Networking with professionals and attending industry events can also enhance your job prospects.

DataMites offers Data Analyst courses both online and offline in Hyderabad. You can choose the mode that best fits your schedule and learning preference. For more details, please visit the DataMites website or contact our support team.

View more

FAQ’S OF DATA ANALYST TRAINING IN HYDERABAD

To enroll in the Certified Data Analyst course in Hyderabad with DataMites, visit our website and complete the online registration form. You can also contact our admission team directly for guidance. For additional details, check our course offerings and schedule on our website.

Yes, DataMites offers demo classes for our Data Analyst course. These sessions allow prospective students to experience the course content and teaching style before making a commitment. To schedule a demo class, please contact our support team for availability and details.

Yes, DataMites offers a Data Analyst course with placement assistance in Hyderabad. The program is designed to equip participants with the necessary skills and support for job placement. For more details, please visit our official website or contact our support team.

A Flexi Pass from DataMites provides three months of access to various training sessions. This flexible option allows participants to attend multiple sessions at their convenience. It is designed to enhance learning while accommodating individual schedules.

Yes, DataMites offers Data Analyst classroom training in Hyderabad. The program is designed to provide comprehensive hands-on experience and theoretical knowledge. For specific details on scheduling and enrollment, please visit the DataMites website or contact our support team.

At DataMites, our instructors are seasoned professionals with extensive industry experience. Ashok Veda, CEO of Rubixe, leads as our principal mentor. Each trainer contributes valuable expertise to deliver top-notch education.

The Data Analyst course at DataMites covers core concepts in data analysis, statistical methods, and data visualization. It includes training on tools like Excel, SQL, and Python. Students gain practical experience through hands-on projects and case studies.

DataMites offers a money-back guarantee if you request a refund within one week of the course start date and attend at least two sessions. Refunds are not available after 6 months or if over 30% of the material has been accessed. Submit requests to care@datamites.com from your registered email.

Yes, you can transfer your offline Data Analyst course to another city in India. Please contact DataMites' customer support for assistance with the transfer process. We will provide you with the necessary steps and guidance.

Enrolling in the DataMites Data Analyst course in Hyderabad provides detailed course materials, including lecture notes, practical exercises, and industry case studies. You'll also receive lifetime access to the course portal and benefit from support by experienced instructors and hands-on projects.

Yes, DataMites offers a Data Analyst course in Hyderabad that includes live projects. This course is designed to provide practical experience and hands-on learning. For more details on the curriculum and enrollment, please visit the DataMites website or contact our local office.

Yes, DataMites offers EMI options for our Data Analyst training in Hyderabad, allowing for manageable monthly payments. For more information, contact our admissions team or visit our website.

Upon completing the DataMites Data Analyst course in Hyderabad, You will receive the Certified Data Analyst certification, accredited by IABAC and NASSCOM®. This credential highlights your data analysis expertise and enhances your career prospects.

The fees for the DataMites Certified Data Analyst course in Hyderabad generally range from ?25,000 to ?1,00,000. The final amount may vary depending on promotions or additional features. For the most up-to-date information, contact a DataMites counselor directly.

Yes, DataMites offers a Data Analyst course in Hyderabad that includes an internship component. The program combines theoretical knowledge with practical experience to help students gain hands-on skills. For more details on the course and internship, please visit our official website.

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.

View more

OTHER DATA ANALYST TRAINING CITIES IN INDIA

popular career ORIENTED COURSES

DATAMITES POPULAR COURSES


HELPFUL RESOURCES - DataMites Official Blog