DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN GHAZIABAD

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

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UPCOMING DATA ANALYST ONLINE CLASSES IN GHAZIABAD

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.

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WHY DATAMITES INSTITUTE FOR DATA ANALYST COURSE

Why DataMites Infographic

SYLLABUS OF DATA ANALYST CERTIFICATION IN GHAZIABAD

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 GHAZIABAD

DataMites Institute, a premier provider of Data Analytics training, offers an extensive Data Analyst course in Ghaziabad, a city recognized for its burgeoning IT sector and rapid development. As Ghaziabad’s technological landscape continues to expand, the demand for skilled data professionals is rising, making it an excellent location for aspiring data analysts to start their careers. DataMites is at the forefront of delivering high-quality training to meet this growing demand.

With Ghaziabad emerging as a significant player in the tech industry, DataMites offers a comprehensive Data Analyst course that covers essential topics such as data analysis techniques, machine learning applications, and data visualization tools. This six-month program, consisting of over 200 learning hours, is specifically designed to cater to the region's increasing need for data expertise. Graduates receive globally recognized certifications from IABAC® and NASSCOM FutureSkills, which are highly valued by employers worldwide.

The rise in demand for data analytics professionals in Ghaziabad is reflected in competitive salaries. According to Indeed reports, data analysts in Ghaziabad earn an average annual salary of approximately 3,52,656 INR. With the sector’s continued growth, enhancing your skills through DataMites training can be a valuable step towards a successful career in data analytics.

Data Analyst Training in Ghaziabad

Ghaziabad is rapidly becoming a key hub for aspiring data analysts due to the swift expansion of data-driven industries. DataMites Institute’s Data Analyst training in Ghaziabad provides students with comprehensive skills, ranging from fundamental concepts to advanced techniques. Emphasizing practical, hands-on learning, DataMites offers flexible course formats—online, blended, and offline—to accommodate recent graduates, professionals, and career changers alike.

Why Choose DataMites for Data Analyst Training in Ghaziabad?

DataMites Institute stands out as a leading training provider for data analytics in Ghaziabad. Here’s why DataMites is the top choice for aspiring data analysts:

  1. Online Classes in Ghaziabad: DataMites offers flexible online learning options, featuring a structured virtual classroom experience with interactive sessions, ideal for those who prefer remote training.
  2. Experienced Faculty: Courses are led by industry experts, including Ashok Veda, DataMites' lead mentor with over 19 years of experience in data analytics. His guidance ensures students acquire valuable, industry-relevant skills.
  3. Comprehensive Curriculum: The six-month course covers essential tools such as Excel, SQL, Tableau, Power BI, Python, and R, providing over 200 hours of in-depth instruction in data analysis and machine learning techniques.
  4. Global Certifications: Graduates earn internationally recognized certifications from IABAC® and NASSCOM FutureSkills, enhancing their employability in global job markets.
  5. Hands-On Projects: The course includes 10 capstone projects and one client project, offering practical experience with real-world data to ensure job readiness.
  6. Internships & Job Support: DataMites provides internship opportunities and job placement assistance, leveraging industry connections to help students secure relevant positions.
  7. Exclusive Learning Community: DataMites fosters a collaborative online environment where students can network, exchange 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 excellent value for aspiring data analysts in Ghaziabad.

Data Analyst Course Offerings at DataMites in Ghaziabad

DataMites Institute offers a diverse range of Data Analyst courses in Ghaziabad, tailored to meet various skill levels and career objectives. These programs are carefully designed to provide thorough training in data analysis, equipping students with the expertise needed to excel in the competitive data analytics field.

  1. Certified Data Analyst Course
  2. Data Analyst Foundation Course
  3. Data Analytics for Managers Course
  4. Certified HR Analytics Professional
  5. Certified Finance Analytics Professional
  6. Certified Healthcare Analytics Professional

Three-Phase Learning Methodology

DataMites' three-phase learning approach offers a structured path to mastering data analytics:

  1. Phase 1: Pre-Course Self-Study Start with self-paced study, using video content and materials to build a solid foundation in data analytics.
  2. Phase 2: Live-Online Training Participate in interactive live-online sessions led by expert instructors, enhanced with hands-on projects for practical experience and deeper insights.
  3. Phase 3: Internship and Job Assistance Gain real-world experience through internships and receive job placement support, with DataMites facilitating connections to industry opportunities for a smooth career transition.

DataMites Data Analyst Course Tools

The Data Analyst courses at DataMites in Ghaziabad cover a broad range of essential tools and technologies, including Anaconda, Atlassian BitBucket, MySQL, MongoDB, Hadoop, Apache PySpark, GitHub, Tableau, Power BI, TensorFlow, Google BERT, Advanced Excel, Numpy, Pandas, and Google Colab.

The Importance of Data Analyst Courses with Internship Opportunities in Ghaziabad

Internships are crucial for aspiring data analysts, providing hands-on experience and industry exposure. In Ghaziabad's expanding IT sector, they help students apply theoretical knowledge to real projects and build valuable industry connections. DataMites integrates internships into its Data Analyst courses, ensuring students gain practical experience and are well-prepared for the competitive data analytics field.

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

Data analytics courses with job placement support in Ghaziabad are essential for bridging the gap between academic learning and industry demands. DataMites offers a thorough program that includes both technical and soft skills training, preparing students for roles such as Data Analysts, Business Intelligence Analysts, and Data Scientists. With a focus on Ghaziabad’s growing data analytics sector, DataMites also offers additional courses in Data Science, Tableau, Python, MLOps, Machine Learning, Deep Learning, Artificial Intelligence and Data Mining. Enroll with DataMites to launch your career and thrive in the dynamic field of data analytics.

ABOUT DATA ANALYST COURSE IN GHAZIABAD

Anyone with a basic understanding of mathematics and statistics can enroll. Most courses are open to individuals from various backgrounds, including business, science, and engineering.

Key skills include proficiency in statistical analysis, data visualization, and data cleaning. Knowledge of tools like Excel, SQL, and programming languages like Python or R is also beneficial.

A data analyst course typically covers data cleaning, statistical analysis, data visualization, and reporting. It also includes training in software tools and programming languages relevant to data analysis.

A data analyst interprets data to help organizations make informed decisions. They gather, clean, and analyze data, and then present their findings through reports and visualizations.

While not strictly essential, programming skills significantly enhance a data analyst's capabilities. Proficiency in languages like Python or R facilitates data manipulation, analysis, and automation, making it a valuable asset for efficient and advanced data analytics tasks.

Yes, individuals from non-engineering backgrounds can transition into data analysis. With relevant coursework, certifications, and practical experience, such a transition is feasible.

Current trends include increased use of AI and machine learning, real-time data analytics, and a focus on big data. Companies are also emphasizing data-driven decision-making and analytics for business strategy.

The average salary for data analysts in Ghaziabad ranges between INR 4 to 8 lakhs per annum, depending on experience and expertise.

It typically takes about 6 to 12 months to become a data analyst, including coursework, practical experience, and possibly internships.

Top data analyst courses in Ghaziabad are provided by institutions like DataMites. These programs equip students with essential skills in data analysis, statistics, and tools such as Excel and SQL, aligning with current industry requirements.

The career outlook is positive, with growing demand for data analysts as more businesses in Ghaziabad seek data-driven insights to enhance their operations.

To excel as a data analyst in Ghaziabad, pursue relevant courses or certifications, engage in practical projects, and seek internships. Networking with local professionals and attending industry events will also enhance learning and career opportunities.

Yes, data analysis is a high-demand field due to its critical role in decision-making across industries. Organizations seek skilled data analysts to interpret complex data, driving strategic insights and enhancing operational efficiency in today's data-driven economy.

Yes, data analytics is highly sought after in Ghaziabad, driven by the city's growing IT and business sectors. The demand for skilled data professionals is increasing as organizations seek data-driven insights for strategic decision-making and competitive advantage.

In Ghaziabad, Datamites Campus stands out as a leading institute for data analyst training. It provides comprehensive courses featuring an industry-relevant curriculum, expert instructors, and hands-on experience to prepare professionals for roles in data analytics.

Python is a crucial skill for data analysts due to its powerful libraries and ease of use. However, proficiency in statistics, data visualization tools, and domain knowledge are also essential to effectively analyze and interpret data.

Studying data analytics in Ghaziabad is beneficial due to the growing demand for data professionals and the presence of a thriving business environment that values data-driven insights.

To pursue a data analyst course, a minimum qualification typically includes a bachelor’s degree in a relevant field such as mathematics, statistics, computer science, or business, along with basic proficiency in data handling and analysis tools.

Topics typically include data cleaning, statistical analysis, data visualization, SQL, and programming in Python or R. Some courses also cover machine learning basics.

Entry-level data analysts in Ghaziabad can find opportunities in sectors like finance, marketing, healthcare, and technology, with roles focusing on data analysis, reporting, and business intelligence.

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FAQ’S OF DATA ANALYST TRAINING IN GHAZIABAD

You can sign up for the Certified Data Analyst course in Ghaziabad by visiting DataMites’ official website or contacting our local Ghaziabad center directly. Registration forms and further instructions will be provided upon inquiry.

The DataMites Data Analyst course curriculum includes data wrangling, statistical analysis, data visualization, and practical applications using tools like Excel, SQL, Python, and R. The detailed syllabus is available on our website.

Yes, DataMites provides job placement assistance, including resume building, interview preparation, and connecting students with potential employers in Ghaziabad.

A Flexi Pass provides access to multiple batches or sessions of the same course for three months, offering the flexibility to fit various schedules and revisit topics as needed.

DataMites provides a 100% money-back guarantee if you request a refund within one week of the course start date and attend at least two sessions during the first week. Refunds will not be processed after six months or if more than 30% of the material has been accessed. To request a refund, email care@datamites.com from your registered email address. Please review our refund policy for further details.

At DataMites, instructors are distinguished professionals with extensive industry experience. Ashok Veda, the CEO of Rubixe, serves as the lead mentor. All trainers contribute valuable expertise, guaranteeing a high standard of education.

The course covers data analysis techniques, data wrangling, statistical methods, and data visualization using tools like Excel, SQL, Python, and R. A full list of topics is provided in the course syllabus.

Yes, DataMites provides demo classes for the Data Analyst courses in Bangalore. These sessions allow you to experience the course content and teaching style firsthand, helping you determine if the program aligns with your learning objectives and career goals.

Yes, you can typically attend make-up classes or access recorded sessions if you miss a class. Specific policies regarding missed sessions are detailed by DataMites.

Enrollees receive comprehensive course materials including lecture notes, assignments, and access to online resources and tools relevant to the Data Analyst course.

Yes, live projects are included as part of the curriculum, providing practical experience in applying data analysis techniques to real-world scenarios.

DataMites often offers EMI (Equated Monthly Installments) options to make course fees more manageable. Details on EMI plans can be obtained from our Ghaziabad center or website.

Upon finishing the DataMites Data Analyst course in Ghaziabad, you will earn the Certified Data Analyst (CDA) certification, accredited by IABAC and NASSCOM®. This certification highlights your proficiency in data analysis and can enhance your career prospects.

The fees for the DataMites Certified Data Analyst course in Bangalore generally range from ?25,000 to ?1,00,000. This amount may vary depending on current promotions or additional course features. For the most precise and up-to-date information, please reach out to a DataMites counselor.

DataMites typically offers internship opportunities as part of our Data Analyst course, providing practical experience and exposure to real-world data analysis projects.

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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