DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN LUCKNOW

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 LUCKNOW

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 LUCKNOW

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 LUCKNOW

DataMites Institute, a leading provider of Data Analytics training, offers an extensive Data Analyst course in Lucknow, the "City of Nawabs." As Lucknow’s IT sector experiences rapid growth and data-driven decision-making becomes increasingly essential, the city is an ideal location for aspiring data analysts to start their careers. DataMites is at the forefront of delivering high-quality training to address the rising demand for skilled data professionals.

With Lucknow emerging as a significant player in the tech industry, DataMites provides a comprehensive Data Analyst course covering key topics such as data analysis techniques, machine learning applications, and visualization tools. This six-month program, featuring over 200 learning hours, is designed to meet the region's growing need for data expertise. Graduates earn globally recognized certifications from IABAC® and NASSCOM FutureSkills, which are highly esteemed by employers worldwide.

Lucknow's development as a key hub for data analytics careers makes it an excellent place for aspiring analysts. DataMites offers a Certified Data Analyst course that provides hands-on experience with essential tools like Excel, SQL, Tableau, Power BI, Python, and R. At a reduced fee of 42,000 INR, the course offers great value and certifications from IABAC® and NASSCOM FutureSkills, making it a top choice for students in Lucknow.

The demand for data analytics professionals in Lucknow is increasing, with competitive salaries reflecting this growth. According to Glassdoor reports, data analysts in Lucknow earn an average annual salary of approximately 4,00,000 INR. With the sector's ongoing expansion, advancing your skills through DataMites training can be a valuable step toward a successful career in data analytics.

Data Analyst Training in Lucknow

Lucknow is rapidly becoming a key destination for aspiring data analysts due to the swift expansion of data-driven industries. DataMites Institute’s Data Analyst training in Lucknow equips students with comprehensive skills, ranging from basic 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 Lucknow?

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

  1. Online Classes in Lucknow: DataMites offers flexible online learning options in Lucknow, 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 Lucknow.

Data Analyst Course Offerings at DataMites in Lucknow

DataMites Institute offers a diverse range of Data Analyst courses in Lucknow, 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 Lucknow cover a comprehensive 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 Lucknow

Internships are crucial for aspiring data analysts, providing hands-on experience and industry exposure. In Lucknow’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 Lucknow

Data analytics courses with job placement support in Lucknow 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 Lucknow’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 LUCKNOW

Anyone with an interest in data analysis can enroll, but a background in mathematics, statistics, economics, computer science, or related fields is beneficial. Basic knowledge of Excel and data handling skills is also helpful.

The best and top recommended certified Data Analyst course in Lucknow is the "Certified Data Analyst Program" offered by reputed institutes. It covers essential data analysis skills, tools like Excel, SQL, and Tableau, ensuring comprehensive training.

A Data Analyst course is a structured program that teaches essential skills for analyzing data. It covers topics like data visualization, statistical analysis, Excel, SQL, and Python, helping learners interpret data, identify trends, and make data-driven decisions.

A Data Analyst is a professional who collects, processes, and analyzes data to identify trends, patterns, and insights. They use statistical tools and techniques to help organizations make informed decisions, improve performance, and solve business problems.

Coding is not always necessary for a career in data analysis, but it is highly valuable. Many roles use tools like Excel or Tableau, but knowing programming languages like Python or R offers more flexibility and opportunities for growth.

Yes, you can switch to a data analyst career with a non-engineering background. Focus on learning key skills like Excel, SQL, Python, data visualization, and basic statistics. Building a strong portfolio and completing relevant courses can also help.

The latest trends for Data Analysts in Lucknow include increased demand for skills in Python, SQL, and machine learning, a focus on data visualization tools like Power BI and Tableau, cloud-based data solutions, and proficiency in advanced analytics and big data.

The average salary for a data analyst in Lucknow ranges from ₹2 lakh to ₹5 lakh per year, according to Glassdoor. Salaries vary based on experience, skills, and company size, with entry-level roles starting lower and experienced professionals earning more.

The duration of a data analyst course in Lucknow typically ranges from 4 to 12 months, depending on the institute and course structure. Some advanced or specialized programs may last up to 9 months, including practical training and projects.

Lucknow provides excellent courses for Data Analysts, focusing on key skills such as data visualization, statistical analysis, and machine learning. Many programs include hands-on projects, internships, and placement support to help you land a job. DataMites, a trusted global leader with a decade of experience, offers extensive assistance for internships and job placements.

The scope of Data Analysts in Lucknow is growing, driven by increasing demand for data-driven decision-making across industries. Opportunities exist in sectors like finance, healthcare, and education, offering roles that emphasize data interpretation, reporting, and strategic insights.

To learn data analysis in Lucknow, enroll in a reputable course offering hands-on training. Utilize online resources, join local workshops, and participate in projects. Networking with professionals can also enhance your skills and job opportunities in the field.

Python is a powerful tool for data analysis, offering libraries like Pandas and NumPy for data manipulation, and Matplotlib for visualization. However, knowledge of SQL, statistics, and data visualization techniques enhances a data analyst's effectiveness and insights.

Yes, a fresher can become a data analyst by developing skills in data analysis, statistics, and relevant software tools. Pursuing online courses, internships, and hands-on projects can enhance their knowledge and make them competitive in the job market.

Yes, data analyst jobs are considered part of the IT sector in Lucknow. They involve analyzing data to support decision-making, often requiring technical skills in data management and software tools, making them integral to the technology and information services industry.

The fees for a certified data analyst course in Lucknow typically range from ₹25,000 to ₹1,50,000, depending on the institute and course duration. It’s advisable to compare different programs for the best value and curriculum fit.

No, 40 is not too old to start a career as a data analyst in Lucknow. Many individuals successfully transition into this field later in life, leveraging their prior experience and skills. Continuous learning and adaptability are key to success.

To pursue a data analyst course, a minimum qualification typically includes a high school diploma or equivalent. Familiarity with basic mathematics, statistics, and computer skills is also beneficial. Some programs may require a bachelor’s degree in a related field.

A degree is not strictly necessary to become a data analyst in Lucknow. However, having relevant qualifications can enhance job prospects. Practical skills in data analysis tools and techniques, along with experience, are often equally important for success in the field.

The data analyst profession in India is quite demanding, requiring strong analytical skills, proficiency in tools like Excel and SQL, and the ability to interpret data insights. Professionals must adapt quickly to evolving technologies and work effectively in team environments.

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FAQ’S OF DATA ANALYST TRAINING IN LUCKNOW

To enroll in the DataMites Certified Data Analyst course in Lucknow, visit our official website, select the course, and complete the registration form. Ensure you check the schedule and payment options for a seamless enrollment experience.

The DataMites Data Analyst course covers key topics such as data visualization, statistical analysis, data cleaning, and tools like Excel, SQL, and Python. It emphasizes practical applications, real-world projects, and industry-relevant skills to prepare participants for data-driven decision-making.

DataMites offers a comprehensive Data Analyst course in Lucknow, which includes placement assistance. our program is designed to equip students with the necessary skills and support for securing job opportunities in the data analytics field upon course completion.

DataMites offers a Data Analyst course in Lucknow that includes internship opportunities. This program equips participants with essential skills and practical experience, enhancing their employability in the data analytics field through hands-on training and industry exposure.

DataMites offers a comprehensive Data Analyst course in Lucknow that includes hands-on experience with live projects. This practical approach equips participants with essential skills and real-world exposure, ensuring they are well-prepared for the demands of the industry.

At DataMites, instructors are highly qualified professionals with industry backgrounds. Ashok Veda, the CEO of Rubixe, is also the lead mentor. All trainers bring valuable expertise to ensure high-quality education.

Yes, DataMites offers a demo class for the Data Analyst course. This session allows prospective students to experience the curriculum, teaching style, and content firsthand, helping them make an informed decision before enrolling. Contact DataMites for scheduling details.

Yes, at DataMites, you can attend classes even if you miss a session. They offer recorded lectures and resources to help you catch up, ensuring you remain on track with your learning and development in the program.

DataMites in Lucknow provides comprehensive study materials for the Data Analyst course, including detailed lecture notes, practical assignments, case studies, and access to online resources. Additionally, students receive guidance on tools like Excel, SQL, and Python to enhance their learning experience.

The Flexi-Pass option at DataMites provides learners with three months of flexible access to various courses and workshops. This approach enables participants to tailor their learning experience to fit their schedules while ensuring thorough coverage of essential data skills and concepts.

Yes, DataMites offers EMI options for our Data Analyst Training in Lucknow. This flexible payment plan allows students to manage their finances effectively while pursuing their education, ensuring accessibility to high-quality training in data analytics.

After successfully finishing the Data Analyst course at DataMites in Lucknow, you will earn a globally recognized certification accredited by IABAC and NASSCOM®. This credential confirms your skills and expertise, significantly boosting your career opportunities in the data-driven sector.

The fees for the DataMites Certified Data Analyst course in Lucknow typically range from ?25,000 to ?1,00,000, depending on promotional offers and enrollment periods. For the most accurate and up-to-date pricing, it’s recommended to visit the official DataMites website or contact our local office.

DataMites provides comprehensive support during and after the Data Analyst course in Lucknow, including personalized mentorship, access to resources, interview preparation, and job placement assistance. This ensures students gain practical skills and guidance for successful career transitions in data analytics.

DataMites' refund policy for the Data Analyst course typically allows for refunds within a specified period after enrollment, subject to certain conditions. It's advisable to review our terms directly or contact our support for detailed information regarding your specific situation.

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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