DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN GUWAHATI

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 GUWAHATI

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 GUWAHATI

DataMites offers a premium Data analyst course certification in Guwahati, designed to equip professionals with the expertise needed to excel in the field of data analytics. This 6-month program offers 200+ hours of expert-led training, tailored to prepare learners for high-demand data analytics roles. The course covers essential tools like Excel, SQL, MySQL, Tableau, Power BI, python programming training, R, and no-code platforms, blending theory with practical, hands-on learning. With industry projects, internships, and placement assistance included, DataMites ensures you gain both knowledge and real-world exposure to succeed as a data analyst.

DataMites® Guwahati offers a Certified Data Analyst Course accredited by IABAC and NASSCOM FutureSkills, providing hands-on training with real-world datasets and scenario-based learning. The program builds technical skills, analytical thinking, and professional development for today’s data-driven world. With internships, job referrals, resume support, and offline classes, learners gain industry-ready expertise. Spanning 200+ hours over 6 months, the course includes live mentoring, self-paced modules, 1-year eLearning access, and globally recognized certifications. Fees start at INR 34,900, and students work on real-time projects to develop a strong portfolio and smoothly transition into data analytics careers.

According to Fortune Business Insights,the global data analytics market size was valued at USD 64.99 billion in 2024. The market is projected to grow from USD 82.23 billion in 2025 to USD 402.70 billion by 2032, exhibiting a CAGR of 25.5% during the forecast period.

Data Analysis Lifecycle: From Collection to Decisions

The data analysis lifecycle is a structured process that transforms raw information into actionable insights, guiding organizations from data collection to informed decision-making.

1. Data Collection
This is the process of gathering data from various sources such as surveys, databases, or sensors. Accurate and relevant data collection forms the foundation of any analysis.

2. Data Cleaning and Preparation
In this step, data is checked for errors, missing values, and inconsistencies. Preparing clean data ensures that the analysis yields reliable and meaningful results.

3. Data Exploration and Analysis
Analysts explore data patterns, trends, and relationships using statistical methods and visualization tools. This helps in understanding the underlying structure of the data.

4. Interpretation of Results
Findings from the analysis are interpreted in the context of the business problem. Clear insights are derived to answer key questions or test hypotheses.

5. Decision-Making and Reporting
The final step involves communicating the insights through reports or dashboards. These results guide strategic decisions, helping organizations take informed actions.

By following each stage carefully, businesses can ensure data-driven strategies that enhance efficiency, solve problems, and support smarter decision-making.

Three-Phase Learning Methodology at DataMites®

At DataMites®, we follow a unique Three-Phase Learning Approach designed to strengthen concepts, provide practical exposure, and prepare learners for successful careers.

Phase 1 – Learn: Build a strong foundation with expert-led sessions on Excel, SQL, Python, and Tableau.

Phase 2 – Practice: Apply skills through live datasets, case studies, and internships.

Phase 3 – Execute: Gain career readiness with placement support, mock interviews, and IABAC® & NASSCOM-certified projects.

Why Choose DataMites® for data analyst training in Guwahati?

Choosing the right training provider is key to building a successful career in analytics. DataMites® Guwahati stands out with its comprehensive Data Analytics Course, combining technical expertise with practical exposure to prepare learners for industry-ready roles.

1. Data analyst courses with internship opportunities
At DataMites, learners don’t just gain theoretical knowledge they apply it in real-world settings. The course includes internship opportunities where students work on real business problems, giving them valuable industry exposure and helping them build a strong portfolio to showcase their skills to employers.

2. Data analyst courses with placement assistance (PAT Program)
The Placement Assistance Training (PAT) Program is designed to support learners in launching their careers. Through job referrals, interview preparation, resume-building workshops, and soft skill training, DataMites ensures that students enrolled in the Data Analytics Course are fully prepared to secure promising data analytics roles.

3. Data analyst courses with live projects
Learning is most impactful when it’s hands-on. DataMites integrates live projects into the curriculum, allowing learners to work on real datasets and industry scenarios. This practical approach strengthens problem-solving skills and ensures graduates are job-ready from day one.

4. Globally recognized certifications
DataMites® provides certifications accredited by IABAC and NASSCOM FutureSkills, adding global credibility to your qualifications. These certifications are highly valued by employers, giving you a competitive edge when applying for roles in Guwahati and beyond.

5. Flexible learning options
Every learner has unique needs, and DataMites caters to them through flexible learning modes including classroom sessions, live online training, and self-paced eLearning. This flexibility allows working professionals and students in Guwahati to learn at their convenience without compromising on quality.

6. Professional Trainers with industry insights
The faculty at DataMites® consists of industry experts and experienced mentors who bring practical insights into the classroom. Their guidance helps learners understand complex concepts with ease and apply analytical techniques effectively in real-world business environments.

By choosing DataMites® Data analyst courses in Guwahati, you invest in a learning journey that equips you with the right tools, hands-on experience, and professional network to thrive in data analytics.

DataMites® offline centers across india

DataMites® provides offline data analyst courses in Guwahati, offering aspiring professionals the advantage of expert-led training within their city. With training hubs established in major educational and industrial centers across India such as Bangalore, Hyderabad, Pune, Chennai, Coimbatore, Mumbai, Ahmedabad, Delhi, Nagpur, Bhubaneswar, Indore, Jaipur, Kolkata, and Chandigarh DataMites ensures that quality learning and career-focused education are easily accessible to learners nationwide.

DataMites provides offline data analyst training in Guwahati, Himadri path, Office Nos 16 17, 2C 2nd Floor, MyBranch Services, ITag Plaza, GS Rd, nr. Rajiv Bhawan ABC, Bhangagarh, Guwahati, Assam 781005

The DataMites® Guwahati training centre is strategically located to support aspiring data professionals across the city. It is easily accessible from prominent areas such as Dispur (781005), Beltola (781028), Ulubari (781007), Paltan Bazaar (781008), Zoo Road (781024), Six Mile (781022), Ganeshguri (781005), Jalukbari (781013), Pan Bazaar (781001), and Khanapara (781022). The center is equipped with modern infrastructure, expert trainers, and interactive offline classes, ensuring learners receive hands-on Data Analyst training in Guwahati. With practical exposure and industry-relevant curriculum, students gain the confidence and skills required to excel in high-demand analytics roles.

Data analyst course in Guwahati with placement support

Enroll in the DataMites® Data Analyst Course in Guwahati, crafted for high-demand analytics roles. The program includes hands-on training in tools like Excel, SQL, MySQL, Tableau, Power BI, Python, R, and no-code platforms, along with dedicated placement support through resume guidance, mock interviews, and job referrals to help you launch a successful career.

Data analyst certification in Guwahati with internship

Join the DataMites® Data Analyst Certification in Guwahati with Internship, crafted to provide both theoretical knowledge and practical industry exposure. The program includes interactive sessions, live projects, case studies, and internship opportunities that help learners apply concepts to real-world scenarios while building a strong portfolio. With placement support, globally recognized certifications, and career guidance, this hands-on experience ensures you gain the confidence and skills to excel in today’s competitive data analytics landscape.

The DataMites® Data Analyst Course in Guwahati covers essential tools like Excel, SQL, MySQL, Tableau, Power BI, Python, R, and no-code platforms, along with certifications from IABAC and NASSCOM FutureSkills. DataMites® also offers specialized programs such as the Data Science Course , Python training, Tableau training, and Artificial Intelligence course to expand career opportunities in analytics and AI.

ABOUT DATA ANALYST COURSE IN GUWAHATI

Anyone with an interest in data analysis, including recent graduates, professionals looking to upskill, or individuals transitioning careers, can enroll in a data analyst program. A background in mathematics, statistics, or related fields is often beneficial.

Key skills for studying data analysis include proficiency in statistics, data visualization, programming (Python, R), and database management (SQL). Critical thinking, problem-solving, and knowledge of machine learning, along with strong communication skills, are essential for effective data interpretation.

A Data Analyst course trains individuals in collecting, processing, and analyzing data to derive insights that drive decision-making. It covers key tools such as Excel, SQL, and Python, alongside data visualization techniques, equipping learners for careers in data analytics.

A data analyst collects, processes, and analyzes data to provide actionable insights, enabling organizations to make informed decisions. They use statistical tools, identify trends, and create visualizations to help interpret complex data and drive strategic initiatives.

Yes, programming is often required for a data analyst career. Proficiency in languages like SQL, Python, or R is essential for data manipulation, analysis, and automation, enhancing efficiency and enabling deeper insights from complex datasets.

Yes, individuals with non-engineering backgrounds can transition into data analyst roles by acquiring relevant skills such as data analysis, statistics, and proficiency in tools like Excel, SQL, and Python, combined with strong problem-solving and critical thinking abilities.

Data analysts in Guwahati are adopting trends like AI-driven analytics, real-time insights, and stronger data governance as local businesses embrace predictive modeling and cloud solutions. India’s data analytics market, valued at US$ 2.6 billion in 2024, is projected to reach US$ 27 billion by 2033, growing at a 27.46% CAGR. (source:IMARC Report).

The average salary for a data analyst in Guwahati ranges from INR1.2 Lakh - INR 6 Lakhs (Source: Ambitionbox) depending on experience, skills, and industry. With advanced tools and certifications, professionals can earn higher and access better career opportunities in analytics roles.

In Guwahati, the DataMites Certified Data Analytics Course spans 6 months and offers more than 200 hours of instruction. This comprehensive duration ensures ample time for in-depth training, hands-on exercises, and project work.

In Guwahati, top courses for data analysts include the Certified Data Analyst Course, which demonstrates proficiency in working with data using various technologies. This certification covers data handling, exploration, basic analytics, and result presentation. Additionally, Jain University and IABAC endorse the DataMites CDA Course.

In Guwahati, data analysts can expect strong career prospects due to the city's growing IT and business sectors. Opportunities are expanding in finance, retail, and technology, driven by increasing data-driven decision-making across industries and government initiatives.

The most effective way to learn data analysis in Guwahati is to join a well-regarded training institute that provides internships and hands-on experience. Seek programs with detailed curricula, skilled instructors, and job placement support to ensure a robust and practical education.

Yes, there is a strong demand for data analytics professionals due to their critical role in leveraging data for strategic decision-making, enhancing business efficiency, and driving innovation. This trend is expected to continue as data complexity and business needs grow.

Yes, you can study data analysis online through various platforms offering courses and certifications. These programs cover essential skills and tools, such as statistics, programming, and data visualization, providing flexibility and accessibility for learners worldwide.

In Guwahati, DataMites stands out as the premier choice for data analyst training. This institute provides in-depth courses in data analysis, machine learning, and statistical tools, offering excellent preparation for future data professionals.

Learning data analytics in Guwahati is highly valuable due to the city's growing IT and business sectors. It enhances career prospects by equipping individuals with skills essential for data-driven decision-making and opens opportunities in diverse industries.

Entry requirements for data analyst courses in Guwahati typically include a bachelor's degree in a related field (such as Computer Science or Statistics), proficiency in data analysis tools, and basic programming skills. Specific criteria may vary by institution.

Data analysts focus on interpreting and visualizing historical data to inform business decisions, while data scientists develop advanced models and algorithms to predict future trends and uncover deeper insights. Data scientists often require a stronger statistical and programming background.

Yes, you can pursue a career as a data analyst after completing your 12th standard with PCB. While a background in mathematics or computer science is beneficial, many programs accept diverse academic backgrounds and offer foundational training in data analysis.

Learning data analytics in Guwahati is highly beneficial due to the city's growing tech ecosystem and increasing demand for data-driven decision-making. It enhances career prospects in various industries and aligns with the region's economic development and digital transformation initiatives.

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FAQ’S OF DATA ANALYST TRAINING IN GUWAHATI

To enroll in the Certified Data Analyst course in Guwahati with DataMites, please visit our official website, choose the course from our offerings, and complete the registration process. For any assistance, feel free to reach out to our support team using the provided contact information.

The DataMites Data Analyst course covers foundational and advanced topics, including data wrangling, statistical analysis, data visualization, and business intelligence. It incorporates hands-on training with tools like Excel, SQL, Python, and Tableau to equip professionals for real-world data challenges.

Yes, DataMites offers job placement assistance with our Data Analyst course in Guwahati. Datamites support includes resume building, interview preparation, and connections with potential employers to help students secure relevant job opportunities in the data analytics field.

With the Flexi-Pass for Data Analytics Certification Training in Guwahati, participants can attend relevant sessions for up to three months, allowing them to address any questions or make revisions 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 are unavailable after six months or if more than 30% of the course material has been accessed. To request a refund, email care@datamites.com from your registered email. Please consult our refund policy for full details.

At DataMites, instructors are highly qualified professionals with extensive industry experience. Ashok Veda, the CEO of Rubixe, serves as the lead mentor. All trainers contribute valuable expertise to deliver exceptional educational quality.

The Data Analyst course at DataMites covers data manipulation, statistical analysis, data visualization, SQL, Excel, and business analytics. It provides practical skills in data cleaning, interpretation, and reporting, with hands-on training in industry-standard tools and techniques.

DataMites offers demo classes for our Data Analyst course in Guwahati. These sessions allow prospective students to experience the curriculum and teaching approach before committing to enrollment. Please contact DataMites directly for scheduling and additional details.

If you miss a session at DataMites, you can attend make-up classes or access recorded sessions, depending on the program's policy. It’s advisable to review our specific guidelines or contact our support for detailed information.

Enrolling in the Data Analyst course at DataMites in Guwahati provides you with comprehensive study materials, including detailed course notes, industry case studies, practical exercises, and access to online resources. Additionally, you'll receive support through instructor-led sessions and interactive webinars.

Yes, DataMites' Data Analyst course in Guwahati includes live projects as part of the curriculum. This hands-on experience allows participants to apply theoretical knowledge to real-world scenarios, enhancing practical skills and industry readiness.

DataMites offers EMI options for their Data Analyst course in Guwahati, providing flexibility in payment. Prospective students can choose from various plans to manage their tuition fees comfortably. For specific details, please contact DataMites directly.

Upon finishing the DataMites Data Analyst course in Bangalore, you will be awarded the Certified Data Analyst certification, accredited by IABAC and NASSCOM®. This certification highlights your data analysis expertise and enhances your career prospects.

The fees for the DataMites Certified Data Analyst course in Guwahati range between INR 34,900 and INR 60,451, depending on factors like course duration, mode of delivery (online or classroom), and applicable discounts.

DataMites’ Data Analyst course in Guwahati includes an internship as a key component. This hands-on experience allows participants to apply their skills in real-world scenarios, enhancing their learning and boosting career prospects.

DataMites offers classroom and online training, with a Certified Data Analyst course in Guwahati that provides hands-on learning and industry-focused skills.
DataMites is located at Himadri Path, Office Nos. 16 & 17, 2C, 2nd Floor, MyBranch Services, ITag Plaza, GS Road, near Rajiv Bhawan ABC, Bhangagarh, Guwahati, Assam – 781005.

DataMites has a dedicated one offline center in Bhangagarh, Guwahati, equipped with modern facilities and offering both classroom and online training for the Data Analyst course. 

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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