DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN AHMEDABAD

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 AHMEDABAD

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 AHMEDABAD

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 AHMEDABAD

DataMites Institute, a premier provider of professional training, offers an extensive Data Analyst course in Ahmedabad specifically located in the prominent area of Navrangpura. As the city continues to evolve into a major tech hub, DataMites delivers offline classes in Ahmedabad, covering crucial topics such as data analysis techniques, machine learning applications, and visualization tools. The course spans six months and includes over 200 learning hours, designed to address the growing demand for data-driven professionals in the region. Graduates of the program receive globally recognized certifications from IABAC® and NASSCOM  FutureSkills, which are highly regarded by employers around the world.

Ahmedabad's emergence as a key location for data analytics careers makes it an ideal environment for aspiring analysts. DataMites offers a Certified Data Analyst course, tailored to equip students with hands-on skills in tools such as Excel, SQL, Tableau, Power BI, Python, and R. With a reduced fee of 42,000 INR, the course provides great value alongside certifications from IABAC® and NASSCOM FutureSkills, positioning it as a top choice for students in the region.

The demand for data analytics professionals is rising, with competitive salaries reflecting this growth. According to Glassdoor reports, data analysts in Ahmedabad earn an average annual salary of approximately 4,80,000 INR. With the data analytics sector seeing a 26.5% growth in 2021 and continuing to show strong demand, enhancing your skills through training at DataMites can be a valuable step in advancing your career.

Why Ahmedabad is the Ideal Location for Data Analyst Training

Ahmedabad is often referred to as the "Manchester of India" due to its industrial prowess, but it is also quickly becoming a hotspot for IT and data analytics. As industries in Ahmedabad increasingly rely on data to drive strategic decisions, the demand for skilled data analysts continues to rise. DataMites Institute’s Data Analyst course in Ahmedabad is designed to equip students with the essential skills to excel in the competitive field of data analytics. From foundational knowledge to advanced analytical techniques, the course covers all aspects of data analytics, preparing students to thrive in today’s data-driven economy.

The curriculum at DataMites is designed not only to impart theoretical knowledge but also to emphasize practical, hands-on learning. Students are offered flexible learning options, including online, blended, and offline courses, catering to diverse learning preferences. Whether you are a recent graduate, a working professional, or someone considering a career change, DataMites has a course tailored to your needs.

Why Choose DataMites for Data Analyst Training in Ahmedabad?

DataMites Institute stands out as a premier choice for data analytics training in Ahmedabad, offering a range of benefits that make it the top choice for aspiring data analysts:

  1. Offline Classes in Ahmedabad:
    DataMites offers classroom-based learning in Ahmedabad, providing a structured learning environment with direct faculty interaction, ideal for students who prefer face-to-face training.
  2. Experienced Faculty & Ashok Veda:
    Courses are led by industry experts, including Ashok Veda, the lead mentor at DataMites. With over 19 years of experience in data analytics, Ashok Veda ensures that students acquire industry-relevant skills and knowledge.
  3. Comprehensive Curriculum:
    The six-month course covers essential tools like Excel, SQL, Tableau, Power BI, Python, and R, providing over 200 hours of learning in data analysis and machine learning techniques.
  4. Global Certifications:
    Graduates earn certifications from IABAC® and NASSCOM FutureSkills, which are internationally recognized, enhancing their employability across global job markets.
  5. Hands-On Projects:
    The course includes 10 capstone projects and one client project, offering practical experience with real-world data, helping students become job-ready.
  6. Internships & Job Support:
    The institute provides internship opportunities and placement assistance, leveraging industry partnerships to help students secure relevant positions.
  7. Exclusive Learning Community:
    DataMites fosters a collaborative environment where students can network, share ideas, and stay updated on 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 great value for aspiring data analysts.

Datamites Data Analytics Courses at Ahmedabad

DataMites Institute offers a variety of Data Analyst courses in Ahmedabad, tailored to different skill levels and career aspirations. Each course is meticulously crafted to provide comprehensive training in data analysis, equipping students with the knowledge and skills necessary to succeed in the competitive data analytics industry.

  1. Certified Data Analyst Course: This flagship course offers in-depth training in data analysis, covering essential tools and techniques. Students will gain a strong foundation in data analytics and hands-on experience with tools such as Excel, MySQL, PowerBI, and Tableau.
  2. Data Analyst Foundation Course: Designed for beginners, this course covers the basics of data analysis, making it an ideal starting point for those new to the field.
  3. Data Analytics for Managers Course: Tailored for professionals in managerial roles, this course equips managers with the skills needed to make data-driven decisions and improve business performance.
  4. Certified HR Analytics Professional: Focused on HR professionals, this course provides the knowledge required to analyze HR data and derive actionable insights that enhance organizational decision-making.
  5. Certified Finance Analytics Professional: This course is designed for finance professionals looking to improve their analytical skills and gain a competitive edge in the job market.
  6. Certified Healthcare Analytics Professional: Specially designed for healthcare professionals, this course provides expertise in analyzing healthcare data to improve patient care and operational efficiency.

DataMites’ Three-Phase Learning Methodology

To ensure that students receive a comprehensive and well-rounded education in data analytics, DataMites employs a unique three-phase learning methodology. This structured approach allows students to build their knowledge gradually, starting with foundational concepts and advancing to more complex topics.

  1. Phase 1: Pre-Course Self-Study
    The first phase involves self-paced learning, where students are provided with high-quality video content and study materials. This phase allows students to familiarize themselves with the basics of data analytics before moving on to more intensive training.
  2. Phase 2: Live-Online Training
    In the second phase, students participate in live online training sessions led by experienced instructors. These interactive sessions provide a deep understanding of data analytics concepts and include hands-on projects to apply learning in real-world scenarios.
  3. Phase 3: Internship and Job Assistance
    The final phase focuses on gaining practical experience through internships and receiving job placement support. DataMites’ strong industry connections help students secure internships and job placements, ensuring a smooth transition from learning to professional application.

DataMites Data Analyst Course Tools

The Data Analyst courses at DataMites in Ahmedabad are designed to cover a wide range of tools and techniques essential for data analysis. The curriculum includes training in data visualization, machine learning, and more, using industry-standard tools such as:

  1. Excel: A fundamental tool for data manipulation, visualization, and reporting.
  2. MySQL: A relational database management system widely used for managing and querying large datasets.
  3. PowerBI: A business intelligence tool for creating interactive visualizations and business reports.
  4. Tableau: A leading data visualization tool, commonly used for creating detailed and interactive data reports.
  5. Python: The go-to programming language for data analytics, known for its versatility in data manipulation and machine learning.
  6. MongoDB: A NoSQL database essential for working with unstructured data.
  7. Apache PySpark: A tool for big data processing and analysis.
  8. Git and GitHub: Essential tools for version control and collaboration in data analytics projects.

The Importance of Internship Opportunities in Ahmedabad

Internships play a crucial role in the learning process for aspiring data analysts, offering the opportunity to apply theoretical knowledge to real-world projects and gain valuable practical experience. In a city like Ahmedabad, where the tech and industrial sectors are booming, internships provide essential industry exposure and the chance to network with professionals, which can lead to future job opportunities.

DataMites recognizes the significance of internships and incorporates them into its Data Analyst courses. By providing internship opportunities, DataMites ensures that students are not only equipped with the necessary skills but also have the practical experience needed to succeed in the competitive data analytics industry.

The Value of Job Placement Support in Data Analytics Courses

Data analytics courses with job placement support in Ahmedabad are crucial for aspiring professionals. They bridge the gap between academic learning and industry needs, providing a direct pathway to employment in a competitive job market. These programs not only impart essential skills but also ensure a successful transition into Ahmedabad’s growing data analytics sector.

DataMites offers a comprehensive training program that extends beyond technical skills to include essential soft skills training, ensuring that graduates are exceptionally prepared and competitive in the job market. The growing technological landscape has heightened the need for roles including Data Analysts, Business Intelligence Analysts, and Data Scientists. DataMites’ programs are strategically designed to meet this increasing demand, providing students with the skills and knowledge required to thrive in this evolving field.

By enrolling with DataMites, you not only embark on a promising career in data analytics but also gain access to a broad range of additional courses, including Data Science, Tableau, Python, MLOps, Machine Learning, Deep Learning, and Data Mining, Artificial Intelligence. This holistic approach ensures that you are well-equipped to navigate and excel in the dynamic world of data analytics. Start your journey with DataMites today and position yourself for success in this burgeoning industry.

ABOUT DATA ANALYST COURSE IN AHMEDABAD

Anyone with an interest in data analysis, basic math skills, and a willingness to learn can enroll. Prior experience in statistics or programming is helpful but not required. Courses often welcome beginners from diverse backgrounds.

Key skills necessary for studying data analytics include strong analytical thinking, proficiency in statistical methods, and familiarity with data visualization tools. Additionally, knowledge of programming languages like Python or R and effective communication skills are essential for interpreting and presenting data insights.

A data analyst course covers topics like data collection, cleaning, analysis, and visualization. Students learn statistical methods, database management, and how to use tools like Python, SQL, and Power BI for data-driven decision-making.

A data analyst processes and interprets complex data sets to help businesses make informed decisions. They work with statistical tools, create visual reports, and provide insights that drive business strategy.

No, coding is not essential for a career as a data analyst. Many tasks can be done using tools like Excel, Power BI, or Tableau. However, learning basic coding can be helpful for advanced tasks and improving efficiency.

Yes, individuals from non-engineering backgrounds can transition into data analytics. Strong analytical skills, a willingness to learn, and training in relevant tools and techniques can make this career switch possible.

In Ahmedabad, data analysts are seeing a growing demand in industries like IT, finance, and e-commerce. Trends include the use of AI, machine learning, and big data technologies to drive business decisions.

As of the latest data, the average annual salary for a data analyst in Pune is approximately ₹2L - ₹6L as per, according to glassdoor report. This figure reflects typical earnings for professionals in this role within the city.

Data analyst courses in Ahmedabad typically range from 4 to 12 months, depending on the course structure and learning format. Some courses offer flexible timelines, including part-time or weekend options.

Top data analyst courses in Ahmedabad include programs from institutes like DataMites, These courses offer hands-on training, certifications, and job placement support.

The demand for data analysts is growing in Ahmedabad across industries like finance, healthcare, and IT. With businesses focusing on data-driven decisions, the role has a promising scope in the region.

Enrolling in a certified course from a reputed institute, complemented by hands-on practice in tools like Excel, SQL, and Python, is the best approach. Both online and offline learning options are available.

Yes, a commerce graduate can build a successful career in data analytics. Their background in business principles and financial analysis provides a strong foundation. By acquiring relevant skills in data analysis tools and techniques, they can transition effectively into this field.

The cost for the DataMites Certified Data Analyst course in Ahmedabad ranges from ₹25,000 to ₹1,50,000. Please note that the exact amount may vary depending on current promotions or any additional features included in the course. For the most accurate and up-to-date information, I would recommend reaching out to a DataMites counselor directly.

Data analyst courses in Ahmedabad are offered both online and offline, allowing flexibility for students and professionals to choose based on their schedule and learning preference.

To become a data analyst, start by gaining a solid foundation in statistics and data analysis through online courses or a degree. Next, build practical skills with tools like Excel, SQL, and data visualization software. Finally, gain hands-on experience through internships or projects to apply your knowledge in real-world scenarios.

Yes, a bachelor’s degree in fields like commerce, IT, or mathematics is sufficient if complemented by relevant data analytics certifications and hands-on experience with analytical tools.

Data analytics holds a promising future in Ahmedabad, as more industries are adopting data-driven strategies to improve efficiency, decision-making, and customer insights.

A data analyst focuses on interpreting existing data to generate insights, while a data scientist develops models and algorithms to predict future trends, often involving more advanced statistical and programming skills.

Job prospects for data analysts in Ahmedabad are positive, with growing opportunities in sectors like finance, retail, healthcare, and e-commerce, particularly in companies expanding their data capabilities.

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FAQ’S OF DATA ANALYST TRAINING IN AHMEDABAD

To enroll in the Certified Data Analyst course in Ahmedabad, visit DataMites' official website, select the course, and complete the registration process. You can also contact our support team for further assistance.

The curriculum covers key topics such as data analysis, statistics, SQL, Python, data visualization, and real-world projects. For a detailed syllabus, refer to DataMites' course page.

Yes, DataMites offers job placement assistance, including resume building, interview preparation, and job referrals to help you secure a position as a Data Analyst.

With the Flexi-Pass for Data Analytics Certification Training in Ahmedabad, participants have the flexibility to attend any of the relevant sessions for up to three months. This allows them to revisit topics, address questions, and make revisions as needed to fully grasp the material and ensure comprehensive understanding.

DataMites provides a 100% money-back guarantee for refund requests submitted within one week of the course start date, as long as at least two sessions have been attended. Refunds are not available after six months or if more than 30% of the course material has been accessed. To request a refund, please email care@datamites.com from your registered email address.

At DataMites, our instructors are distinguished professionals with extensive industry experience. Leading our team is Ashok Veda, the CEO of Rubixe, who also serves as our lead mentor. Each trainer at DataMites brings a wealth of expertise to provide top-tier education and ensure a superior learning experience.

The course covers data manipulation, statistical analysis, SQL, Python programming, data visualization tools, and real-world case studies. The detailed syllabus is provided on our course page.

Yes, DataMites offers demo classes for our Data Analyst course in Ahmedabad. You can register for a demo class through our website or by contacting our support team.

Yes, DataMites provides options to attend missed sessions through recorded classes or makeup sessions to ensure you don't fall behind.

When you enroll in DataMites' Data Analyst course in Ahmedabad, you'll get comprehensive study materials, including course content, practice exercises, and real-world case studies. You'll also have access to online resources and tools, plus support from experienced instructors.

DataMites' Data Analyst course in Ahmedabad includes live projects as part of its curriculum. These projects provide practical experience and enhance learning outcomes. This approach aims to equip students with hands-on skills applicable in real-world scenarios.

 DataMites provides EMI options for our Data Analyst course in Ahmedabad, allowing you to pay the course fees through convenient monthly installments. For further information, please contact our admissions team or visit our website.

After completing the DataMites Data Analyst course in Ahmedabad, you will receive the Certified Data Analyst certification. This credential, accredited by IABAC and NASSCOM®, validates your data analysis skills and can boost your career opportunities.

The cost of the DataMites Certified Data Analyst course in Ahmedabad generally falls between ?25,000 and ?1,00,000. The precise fee can vary based on current promotions, course features, or specific campus pricing. For the most accurate and up-to-date information, it's advisable to reach out to a DataMites counselor directly.

DataMites offers internship opportunities as part of our Data Analyst course in Ahmedabad. This practical experience is designed to help students apply their learning in real-world scenarios. For specific details, it is advisable to contact DataMites directly.

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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