DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN DELHI

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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BEST CERTIFIED DATA ANALYST CERTIFICATIONS

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WHY DATAMITES INSTITUTE FOR DATA ANALYST COURSE

Why DataMites Infographic

SYLLABUS OF DATA ANALYST CERTIFICATION IN DELHI

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 DELHI

The Certified Data Analyst Certification in Delhi by DataMites® is the ideal choice for aspirants looking to build a rewarding career in data analytics. This 6-month program offers 200+ hours of expert-led training with 20 hours of recommended weekly learning. Students gain hands-on experience in tools like Excel, SQL, MySQL, Tableau, Power BI, Python programming training, R, and no-code platforms. This data analyst training in Delhi offers industry-relevant skills, practical projects, and placement support for high-demand analytics job opportunities.

Delhi, a developing tech and business hub, offers immense career opportunities in analytics. DataMites® Delhi is a globally recognized data analyst institute in Delhi, accredited by IABAC and NASSCOM FutureSkills. With over a decade of industry experience, it offers the Certified Data Analyst Course in Delhi, featuring expert-led training, hands-on data analyst projects, and dedicated placement support. The program provides practical skills and a career-focused roadmap, helping professionals excel in high-demand data analyst roles in Delhi.

The Data Analyst Certification Course in Delhi offers 200+ hours of flexible learning over 6 months, with classroom and blended options starting at INR 34,900. Learners receive live mentoring, self-paced modules, 1-year eLearning access, and globally recognized certifications for career growth.

According to The IMARC Group, India’s data analytics market is expected to grow from USD 2.6 billion in 2024 to USD 27 billion by 2033, at a CAGR of 27.46%. This surge highlights a growing demand for skilled data analysts and exciting opportunities in data analytics careers.

The Data Analyst Certification Course in Delhi by DataMites® offers a perfect blend of in-person classroom training and flexible online learning, complemented by real-world data analyst projects and internship opportunities. Designed for beginners, professionals, and career changers, this program equips learners with the skills needed to excel in data analytics jobs in Delhi and advance their data analyst career.

Delhi, the National Capital Territory (NCT) of India, is a commercial and technology hub, home to major corporations, financial institutions, and startups. As per the Oxford Economics Global Cities Index 2024, Delhi ranks 108th worldwide in the Economics category, securing the top position in India. As the largest economic center in northern India, with a metro GDP of $370–400 billion (PPP), Delhi is experiencing a rising demand for skilled data analysts. Companies across finance, IT, e-commerce, and emerging tech sectors are actively seeking professionals to analyze data, forecast trends, and drive informed decision-making. With data analytics courses becoming central to modern business strategy, pursuing a data analyst certification in Delhi offers a promising, future-ready career path and access to lucrative data analytics jobs in Delhi.

Why Choose DataMites® for Data Analyst Training in Delhi?

DataMites® is a top-rated data analyst institute in Delhi, offering a career-focused data analyst course in Delhi with expert mentorship, hands-on data analyst projects, and globally recognized certifications. It is the ideal choice for aspirants looking to become a data analyst and secure high-demand data analytics jobs in Delhi.

  1. Data Analyst Courses with Internship Opportunities: Gain real-world experience with data analyst certification with internships in Delhi. Work on live projects, explore industry workflows, and develop practical problem-solving skills that prepare you for high-demand roles.

  2. Data Analyst Courses with Placement Assistance (PAT Program): Benefit from resume reviews, mock interviews, and direct access to data analytics jobs in Delhi. Personalized career guidance ensures you are fully prepared to excel in competitive recruitment processes.

  3. Data Analyst Courses with Live Projects: Work with industry datasets, case studies, and capstone projects replicating real business scenarios. These hands-on data analyst projects strengthen analytical thinking and enhance your professional portfolio.

  4. Globally Recognized Certifications: Earn data analyst certification from IABAC® and NASSCOM FutureSkills, boosting your data analyst career credibility and employability across industries.

  5. Flexible Learning Options: Choose both learning mode offline and online for data analyst courses in Delhi, including weekend batches for working professionals. Balance your learning with career and personal commitments efficiently.

  6. Learn with Expert Mentors: Learn from seasoned industry practitioners who provide personalized feedback, guide you through complex concepts, and help you tackle real-world analytics challenges.

  7. Comprehensive Curriculum: Master Excel, MySQL, Tableau, Python, R, and advanced analytics techniques. The curriculum is regularly updated to reflect the latest industry trends and tools.


With DataMites®, freshers, professionals, and career switchers can confidently pursue high-demand data analytics jobs in Delhi and build a successful data analyst career.
Three-Phase Learning Methodology at DataMites

At DataMites®, the Three-Phase Learning Methodology offers a structured, career-focused path to becoming a skilled data analyst. Phase 1 helps learners build a strong foundation through self-paced study with video tutorials, eBooks, and preparatory resources. Phase 2 includes live, interactive sessions led by industry experts, covering key analytics tools, real-world case studies, and hands-on data analyst projects. In Phase 3, students gain practical experience through internships and live projects, along with resume building, mock interviews, and personalized career guidance. This comprehensive approach prepares learners for high-demand data analytics jobs in Delhi and a successful data analyst career.

Data Analyst Course in Delhi with Internships

DataMites® Delhi offers a top-tier data analyst course with internships that let students work on live industry projects and real-world datasets. This hands-on experience helps learners sharpen practical skills, strengthen their professional portfolio, and gain the confidence needed to excel in high-demand data analytics jobs in Delhi, making it an ideal choice for those looking to become a data analyst and kickstart a successful career.

Data Analyst Course in Delhi with Placement Support

At DataMites® Delhi, our dedicated Placement Assistance Team (PAT) helps learners smoothly transition into professional data analyst jobs in Delhi. The data analyst course with placement support offers tailored resume building, mock interviews with industry experts, and direct access to premium job openings in top organizations. With expert guidance and practical resources, students are fully equipped to pursue a rewarding data analyst career and secure high-demand roles in the growing field of data analytics in Delhi.

DataMites Offline Centers Across India

DataMites® offers offline data analyst courses in over 20 cities across India, including Delhi, along with other key locations like Bangalore, Hyderabad, Pune, Chennai, Coimbatore, Mumbai, Ahmedabad, Nagpur, Bhubaneswar, Indore, Jaipur, Kolkata, and Chandigarh. The Delhi center provides in-person classes guided by industry experts, promoting interactive learning, hands-on data analyst projects, and peer collaboration.

About DataMites Delhi Training Centre

The DataMites® Delhi Training Centre, conveniently located in Anand Vihar with easy connectivity, provides practical data analyst courses in Delhi and expert mentorship, helping students build in-demand skills for a successful data analyst career.

Datamites Delhi Center Address: First Floor, Hustle Cowork, Plot No 12, Hargobind Enclave, Karkardooma, Anand Vihar, New Delhi, Delhi, 110092

The DataMites® Delhi Training Centre is easily accessible from Anand Vihar (110092), Karkardooma (110092), Preet Vihar (110092), Laxmi Nagar (110092), Shakarpur (110092), Mayur Vihar (110091), Patparganj (110091), IP Extension (110092), Vasundhara Enclave (110096), and surrounding areas. The center offers state-of-the-art infrastructure, experienced faculty, and collaborative offline learning spaces, providing students with hands-on training and practical exposure in data analyst courses in Delhi.

With the rising demand for data-driven strategies, building a data analyst career in Delhi has become more rewarding than ever. The Certified Data Analyst Course in Delhi by DataMites® provides learners with essential skills, hands-on experience, and industry-relevant training perfect for beginners as well as professionals aiming for a career transition.

DataMites® offers a wide array of courses, including Data Science Course, Python training, Tableau, Machine Learning, MLOps, Artificial Intelligence Course, Deep Learning, Data Mining, and the comprehensive data analytics course. Enroll with DataMites to acquire practical skills, boost your expertise, and pursue lucrative data analytics jobs in Delhi. With real-world projects and expert mentorship, DataMites ensures students graduate as job-ready data analysts, fully equipped for high-demand roles in IT, finance, and emerging industries across Delhi and beyond.

ABOUT DATA ANALYST COURSE IN DELHI

To enroll in a Data Analyst course, individuals typically need a basic understanding of statistics and proficiency in spreadsheet software. A background in mathematics, business, or IT can be beneficial but is not always required. Enthusiasm for data analysis and a willingness to learn are key qualifications.

Key skills include proficiency in Excel, statistics, data visualization, and familiarity with tools like Python or SQL. Strong analytical thinking and problem-solving abilities are essential.

A Data Analyst course typically covers data collection, cleaning, and visualization techniques. It includes training on statistical analysis and tools like Excel, SQL, and Python. The course often emphasizes practical applications and real-world data problem-solving skills.

A Data Analyst interprets data, identifies trends, and provides actionable insights to help businesses make informed decisions. Their role involves data collection, processing, and reporting.

Coding is not strictly essential for a career as a Data Analyst, but it is highly beneficial. Proficiency in programming languages like Python or R can enhance data manipulation and analysis capabilities. Many roles require basic coding skills, but advanced data analytics often demands more technical expertise.

Yes, transitioning into a Data Analyst role from a non-engineering background is feasible. Focus on acquiring relevant skills through data analytics courses, certifications, and hands-on projects. Highlight your analytical abilities and problem-solving skills to demonstrate your potential.

The latest trends for data analysts in Delhi include the rise of continuous intelligence for real-time decision-making and increased focus on data democratization to enhance accessibility across organizations. Generative AI is also gaining traction, opening new opportunities in data generation while raising ethical concerns.

The average salary of a Data Analyst in Delhi ranges from INR 5 LPA to INR 15 LPA. With increasing demand, completing a Data Analyst course in Delhi can open doors to lucrative roles in analytics, finance, and IT sectors.

A Data Analyst course in Delhi typically takes between 4 to 12 months to complete, depending on the program and institution. Some courses offer flexible learning options, including part-time or weekend classes. Duration may vary based on the depth of the curriculum and hands-on project involvement.

The most effective way to learn Data Analytics in Delhi is by joining a reputed institute offering both theoretical knowledge and hands-on experience through real-world projects. Look for courses led by industry experts with strong job placement support. This ensures you gain the skills and practical insights needed to excel in data analytics.

Yes, a fresher can start a career as a Data Analyst. Many entry-level roles are open to individuals with relevant skills in data analysis, even without prior experience. Strong knowledge of tools like Excel, SQL, and Python, along with analytical thinking, is key to success.

Enroll in a structured Data Analyst course from recognized institutes like DataMites, offering hands-on projects, live sessions, and industry-relevant tools. Supplement learning with self-study on Excel, SQL, and Python, and attend workshops or webinars for practical exposure.

The average salary for a certified Data Analyst in India ranges from ₹3-12 lakhs per annum, depending on experience, skills, and location. Freshers may start lower, while experienced professionals can earn significantly more.

Yes, a Data Analyst role is often considered part of the IT sector, especially in industries dealing with large datasets and business intelligence. However, Data Analysts also work across various non-IT sectors like finance, healthcare, and retail.

A degree in fields like mathematics, statistics, computer science, or business is commonly required. Knowledge of Excel, SQL, Python, and data visualization tools is essential, along with strong analytical skills.

Yes, it is possible to learn Data Analyst skills in 6 months by enrolling in an intensive, hands-on course. Programs that focus on practical applications, live projects, and mentorship can help you gain job-ready skills in this timeframe.

Excel courses that focus on data analysis, advanced functions, pivot tables, and VBA automation are ideal. Courses from platforms like Coursera, Udemy, or Excel-specific certifications can be beneficial for aspiring Data Analysts.

Yes, many Data Analyst courses offer job placement assistance. Gaining hands-on experience through projects and certifications increases the likelihood of securing a job after completing the course.

Yes, a Data Analyst career is suitable for B.Com students as it requires strong analytical and problem-solving skills. Knowledge of business and finance concepts can be an added advantage in certain industries.

A Data Analyst focuses on interpreting existing data to support decision-making, using tools like Excel and SQL. A Data Scientist, on the other hand, works with complex algorithms, predictive modeling, and large-scale data to identify trends and future patterns.

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FAQ’S OF DATA ANALYST TRAINING IN DELHI

To sign up for the Certified Data Analyst course with DataMites in Delhi, visit our official website and navigate to the "Courses" section. Select the Certified Data Analyst course and follow the registration process by filling out the required details. For further assistance, you can contact our support team directly.

To qualify for DataMites' Data Analyst course in Delhi, you generally need a basic understanding of mathematics and a keen interest in data analysis. No prior coding experience is required, making it accessible to beginners. However, familiarity with Excel and analytical thinking can be advantageous.

Yes, DataMites offers job placement assistance as part of our Data Analyst course in Delhi. We will provide support through resume preparation, interview guidance, and job referrals. However, placement is not guaranteed, and outcomes may vary based on individual performance.

With the Flexi-Pass for the Data Analytics Certification Training in Delhi, participants enjoy the flexibility to attend relevant sessions over a span of three months, allowing them to revisit topics, seek clarification, and reinforce their learning at their own pace.top

At DataMites, the instructors are seasoned professionals with extensive industry experience. Leading the team is Ashok Veda, the CEO of Rubixe, who serves as the chief mentor. Each trainer contributes valuable expertise, ensuring that learners receive top-tier education rooted in real-world business practices.

Yes, many institutes offering Data Analyst courses in Delhi provide demo classes prior to enrollment. These sessions allow prospective students to experience the course content and teaching style. It's advisable to contact the specific institute for details on scheduling a demo class.

The Data Analyst course at DataMites covers essential topics such as data analysis fundamentals, data visualization techniques, and statistical methods. It also includes hands-on training with tools like Excel, SQL, and Python. The course focuses on practical applications to prepare students for real-world data analysis tasks.

Yes, you can typically attend make-up classes if you miss a session. Many institutions offer options for reviewing missed content or joining a later session. It's best to check with your instructor or the program coordinator for specific guidelines.

DataMites offers a transparent refund policy for the Data Analyst course. If you withdraw within the specified period, you can claim a refund as per the terms, making it easier to plan your learning without financial worries.

Enroll in DataMites' Data Analyst course in Delhi for comprehensive study materials, hands-on projects, and live sessions with industry experts. Gain access to e-learning resources and receive certification upon completion. The course enhances both theoretical knowledge and practical data analysis skills.

Yes, DataMites includes live projects in our Data Analyst course in Delhi. These projects provide hands-on experience with real-world data scenarios, helping learners apply their skills practically. This approach enhances understanding and prepares students for industry challenges.

Yes, EMI options are available for the Data Analyst course in Delhi. These flexible payment plans help students and working professionals conveniently manage course fees while gaining essential data analysis skills.

Upon completing the DataMites Data Analyst course in Delhi, you will receive industry-recognized certifications. These credentials validate your expertise in data analysis and enhance your job prospects in analytics-driven fields.

The Data Analyst course at DataMites in Delhi is priced between INR 34,000 and INR 60,000. With EMI options available, this affordable course equips learners with in-demand data analysis skills for career growth.

DataMites does offer an internship as part of our Data Analyst course in Delhi. This practical experience is designed to enhance learning and provide real-world exposure.

DataMites is located in Delhi’s prime area, offering easy access for students and working professionals. The Data Analyst course in Delhi is conducted at this centre, providing industry-relevant training with practical learning resources.

Address for Datamites Delhi: First Floor, Hustle Cowork, Plot No 12, Hargobind Enclave, Karkardooma, Anand Vihar, New Delhi, Delhi, 110092

DataMites has one dedicated training centre in Delhi. The Data Analyst course in Delhi is conducted here, ensuring focused learning, expert guidance, and access to all essential resources for building a successful analytics career.

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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