CERTIFIED DATA ENGINEER CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ENGINEER LEAD MENTORS

DATA ENGINEER COURSE FEES IN GWALIOR

Live Virtual

Instructor Led Live Online

110,000
60,900

  • IABAC® & NASSCOM® Certification
  • 6-Month | 150+ Learning Hours
  • 50+Hour Live Online Training
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

55,000
34,900

  • IABAC® & NASSCOM® Certification
  • One year access to Self Learning
  • 10 Capstone Projects
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Classroom

In - Person Classroom Training

110,000
65,900

  • IABAC® & NASSCOM® Certification
  • 6-Month | 150+ Learning Hours
  • 50+Hour Classroom Training
  • 10 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship + Job Assistance

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UPCOMING DATA ENGINEER ONLINE CLASSES IN GWALIOR

BEST CERTIFIED DATA ENGINEER 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 ENGINEER COURSE

Why DataMites Infographic

SYLLABUS OF DATA ENGINEER CERTIFICATION IN GWALIOR

MODULE 1: DATA ENGINEERING INTRODUCTION

• What is Data Engineering?
• Data Engineering scope
• Data Ecosystem, Tools and platforms
• Core concepts of Data engineering

MODULE 2: DATA SOURCES AND DATA IMPORT

• Types of data sources
• Databases: SQL and Document DBs
• Managing Big data

MODULE 3: DATA INTEGRITY AND PRIVACY

• Data integrity basics
• Various aspects of data privacy
• Various data privacy frameworks and standards
• Industry related norms in data integrity and privacy: data engineering perspective

MODULE 4: DATA ENGINEERING ROLE

• Who is a data engineer?
• Various roles of data engineer
• Skills required for data engineering
• Data Engineer Collaboration with Data Scientist and other roles.

 

MODULE 1: PYTHON BASICS

• Introduction of python
• Installation of Python and IDE
• Python objects
• Python basic data types
• String functions part 
• String functions part 
• Python Operators

MODULE 2: PYTHON CONTROL STATEMENTS

• IF Conditional statement, IF-ELSE
• NESTED IF
• Python Loops Basics, WHILE Statement
• BREAK and CONTINUE statements
• FOR statements

MODULE 3: PYTHON PACKAGES

• Introduction to Packages in Python
• Datetime Package and Methods

MODULE 4: PYTHON DATA STRUCTURES

• Basic Data Structures in Python
• Basics of List
• List methods
• Tuple: Object and methods
• Sets: Object and methods
• Dictionary: Object and methods

MODULE 5: 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
• a.Descriptive Statistics
• b.Inferential Statistis
• 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
• Multistage Sampling 
• Sampling Error
• Methods Of Collecting Data

MODULE 3 : EXPLORATORY DATA ANALYSIS 

• Exploratory Data Analysis Introduction
• Measures Of Central Tendencies, Measure of Spread
• Data Distribution Plot: Histogram
• Normal Distribution
• Z Value / Standard Value
• Empherical Rule and Outliers
• Central Limit Theorem
• Normality Testing
• Skewness & Kurtosis
• Measures Of Distance: Euclidean, Manhattan And Minkowski Distance
• Covariance and Correlation

MODULE 4 : HYPOTHESIS TESTING 

• Hypothesis Testing Introduction 
• Types of Hypothesis
• P- Value, Crtical Region
• Types of Hypothesis Testing: Parametric, Non-Parametric
• 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 (Proposed)

MODULE 1: DATA WAREHOUSE FOUNDATION

• Data Warehouse Introduction
• Database vs Data Warehouse
• Data Warehouse Architecture
• Data Lake house
• ETL (Extract, Transform, and Load)
• ETL vs ELT
• Star Schema and Snowflake Schema
• Data Mart Concepts
• Data Warehouse vs Data Mart —Know the Difference
• Data Lake Introduction architecture
• Data Warehouse vs Data Lake

MODULE 2: DATA PROCESSING

• Python NumPy Package Introduction
• Array data structure, Operations
• Python Pandas package introduction
• Data structures: Series and DataFrame
• Importing data into Pandas DataFrame
• Data processing with Pandas

MODULE 3: DOCKER AND KUBERNETES FOUNDATION

• Docker Introduction
• Docker Vs.VM
• Hands-on: Running our first container
• Common commands (Running, editing,stopping,copying and managing images)YAML(Basics)
• Publishing containers to DockerHub
• Kubernetes Orchestration of Containers 
• Docker swarm vs kubernetes

MODULE 4: DATA ORCHESTRATION WITH APACHE AIRFLOW

• Data Orchestration Overview
• Apache Airflow Introduction
• Airflow Architecture
• Setting up Airflow
• TAG and DAG
• Creating Airflow Workflow
• Airflow Modular Structure
• Executing Airflow

MODULE 5: DATA ENGINEERING PROJECT

• Setting Project Environment
• Data pipeline setup
• Hands-on: build scalable data pipelines

MODULE 1 : AWS DATA SERVICES INTRODUCTION 

• AWS Overview and Account Setup
• AWS IAM Users, Roles and Policies
• AWS S overview
• AWS EC overview
• AWS Lamdba overview
• AWS Glue overview
• AWS Kinesis overview
• AWS Dynamodb overview
• AWS Athena overview
• AWS Redshift overview

MODULE 2 : DATA PIPELINE WITH GLUE

• AWS Glue Crawler and setup
• ETL with AWS Glue
• Data Ingesting with AWS Glue

MODULE 3 : DATA PIPELINE WITH AWS KINESIS 

• AWS Kinesis overview and setup
• Data Streams with AWS Kinesis
• Data Ingesting from AWS S using AWS Kinesis

MODULE 4 : DATA WAREHOUSE WITH AWS REDSHIFT 

• AWS Redshift Overview
• Analyze data using AWS Redshift from warehouses, data lakes and operations DBs
• Develop Applications using AWS Redshift cluster
• AWS Redshift federated Queries and Spectrum

MODULE 5 : DATA PIPELINE WITH AZURE SYNAPSE 

• Azure Synapse setup
• Understanding Data control flow with ADF
• Data Pipelines with Azure Synapse
• Prepare and transform data with Azure Synapse Analytics

MODULE 6 : STORAGE IN AZURE 

• Create Azure storage account
• Connect App to Azure Storage
• Azure Blob Storage

MODULE 7: AZURE DATA FACTORY

• Azure Data Factory Introduction
• Data transformation with Data Factory
• Data Wrangling with Data Factory

MODULE 8 : AZURE DATABRICKS

• Azure databricks introduction
• Azure databricks architecture
• Data Transformation with databricks

MODULE 9 : AZURE RDS

• Creating a Relational Database
• Querying in and out of Relational Database
• ETL from RDS to databricks

MODULE 10 : AZURE RDS

• Hands-on Project Case-study
• Setup Project Development Env
• Organization of Data Sources
• AZURE/AWS services for Data Ingestion
• Data Extraction Transformation

MODULE 1: GIT INTRODUCTION

• Purpose of Version Control
• Popular Version control tools
• Git Distribution Version Control
• Terminologies
• Git Workflow
• Git Architecture

MODULE 2: GIT REPOSITORY and GitHub

• Git Repo Introduction
• Create New Repo with Init command
• Copying existing repo
• Git user and remote node
• Git Status and rebase
• Review Repo History
• GitHub Cloud Remote Repo

MODULE 3: COMMITS, PULL, FETCH AND PUSH

• Code commits
• Pull, Fetch and conflicts resolution
• Pushing to Remote Repo

MODULE 4: TAGGING, BRANCHING AND MERGING

• Organize code with branches
• Checkout branch
• Merge branches

MODULE 5: UNDOING CHANGES

• Editing Commits
• Commit command Amend flag
• Git reset and revert

MODULE 6: GIT WITH GITHUB AND BITBUCKET

• Creating GitHub Account
• Local and Remote Repo
• Collaborating with other developers

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
  • Comments
  • import and export dataset

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
  • Cross join
  • Self join

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
• Key Terms: Output Format
• Partitioners Combiners Shuffle and Sort
• Hands-on Map Reduce task

MODULE 3: PYSPARK FOUNDATION

• PySpark Introduction
• Resilient distributed datasets (RDD),Working with RDDs in PySpark, Spark Context , Aggregating Data with Pair RDDs
• Spark Databricks
• Spark Streaming

MODULE 1: SPARK SQL and HADOOP HIVE

• Introducing Spark SQL
• Spark SQL vs Hadoop Hive
• Working with Spark SQL Query Language

MODULE 2: KAFKA and Spark

• Kafka architecture
• Kafka workflow
• Configuring Kafka cluster
• Operations

MODULE 3: KAFKA and Spark

• Creating an HDFS cluster with containers
• Creating pyspark cluster with containers
• Processing data on hdfs cluster with pyspark cluster

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 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 ENGINEER TRAINING COURSE REVIEWS

ABOUT DATAMITES DATA ENGINEER TRAINING IN GWALIOR

Data engineering has become indispensable in the age of information. According to Market Research Future, the global data engineering market is expected to grow at a compound annual growth rate (CAGR) of 19.8% from 2021 to 2026. The report highlights the increasing significance of data quality, data governance, and data integration in organizations across various sectors, driving the demand for skilled data engineers worldwide.

Discover the Data Engineer Course in Gwalior offered by DataMites, designed to empower individuals with the necessary skills and knowledge in the field. This comprehensive program spans over 6 months, encompassing more than 150 learning hours. Engage in 50+ hours of live online training, where you can interact with expert instructors in real-time. Immerse yourself in 10 capstone projects and 1 client project, gaining hands-on experience in solving real-world data engineering challenges. Additionally, enjoy the flexibility of a 365-day Flexi Pass, granting access to course materials and the Cloud Lab for continuous learning and practice.

For individuals who prefer offline learning, DataMites also offers Data Engineer courses on demand in Gwalior. These courses provide the freedom to learn at your own pace, with access to pre-recorded lectures and comprehensive study materials.

There are several compelling reasons to choose DataMites for Data Engineer training in Gwalior. 

  • Led by Ashok Veda and a team of experienced faculty, DataMites ensures top-notch instruction. 

  • The course curriculum is comprehensive, covering all the essential topics and technologies required for success in data engineering. 

  • Upon completion of the course, participants receive globally recognized certifications from esteemed organizations such as IABAC, NASSCOM FutureSkills Prime, and JainX.

  • DataMites offers flexible learning options including online data engineer training in Gwalior and data engineer training offline in Gwalior, allowing individuals to tailor their learning journey to their schedule. 

  • Engage in projects that involve working with real-world data, gaining practical experience and skills. Data Engineer Course with Internship opportunities are provided to further enhance industry exposure. 

  • DataMites offers data engineer training with placement assistance and job references, supporting participants in their career aspirations. 

  • Additionally, learners receive hardcopy learning materials and books to supplement their studies. 

  • Join the DataMites Exclusive Learning Community, fostering collaboration and networking among learners and industry professionals. 

  • The courses are priced affordably, and scholarships are available to deserving candidates.

Gwalior, located in the state of Madhya Pradesh, India, is a historically rich and culturally vibrant city. Known for its majestic forts, palaces, and temples, Gwalior offers a unique backdrop for pursuing a Data Engineer Certification. Gwalior's evolving business landscape, including IT parks and industries, presents numerous opportunities for data engineers. With its rich heritage, traditional music, and delectable cuisine, Gwalior offers a blend of historical charm and modern amenities. Embrace the cultural diversity and the warm hospitality of Gwalior as you embark on your data engineering journey in this dynamic city.

Along with the data engineer courses, DataMites also provides data analyst, data science, deep learning, artificial intelligence, mlops, IoT, data mining, python training, tableau, r programming, data analytics, AI expert and machine learning courses in Gwalior.

ABOUT DATA ENGINEER COURSE IN GWALIOR

Data engineering refers to the field of designing, developing, and maintaining the infrastructure and systems necessary for the efficient and reliable processing, storage, and analysis of large volumes of data. It involves building pipelines, data warehouses, and data integration frameworks to support data-driven decision-making.

Undergoing Data Engineer Training in Gwalior offers several advantages, including gaining in-depth knowledge of data engineering concepts and techniques, hands-on experience with industry-standard tools and technologies, improved job prospects and career opportunities, and the ability to contribute effectively to data-driven projects within organizations.

The prerequisites for enrolling in a Data Engineer Course in Gwalior may vary depending on the specific institute or program. However, typically, basic knowledge of programming languages, databases, and SQL is beneficial. A background in computer science or related fields can also be advantageous.

When selecting the ideal institute for data engineering training, it is essential to consider factors such as the curriculum, faculty expertise, industry affiliations, feedback from alumni, and training options. DataMites consistently emerges as a top choice for data engineering training. Through its inclusive curriculum, industry-centric projects, and knowledgeable instructors, the institute provides a strong foundation in data engineering, equipping students with the necessary skills and knowledge to succeed in this field.

After completing Data Engineer Training, potential job roles include Data Engineer, Data Architect, Big Data Engineer, ETL Developer, Database Developer, Data Warehouse Engineer, and Data Integration Specialist. These roles involve designing, building, and maintaining data systems and infrastructure within organizations.

Depending on the institute, program duration, delivery method (online or classroom), and added benefits, the cost of Data Engineer Training in Gwalior may differ. As a general guideline, the fees for data engineer training in Gwalior typically range from 40,000 INR to INR 1,00,000.

Essential skills for a data engineer include proficiency in programming languages such as Python, Java, or Scala, expertise in SQL and database management systems, knowledge of data modeling and ETL (Extract, Transform, Load) processes, familiarity with big data technologies like Hadoop and Spark, and understanding of cloud platforms and data warehousing concepts.

The educational requirements for a data engineering career typically include a bachelor's degree in computer science, information technology, or a related field. However, some positions may require a master's degree or higher level of education, depending on the organization and the complexity of the data engineering tasks involved.

A postgraduate degree is not necessarily required for Data Engineer Training. While a bachelor's degree is typically the minimum educational requirement, individuals can enhance their knowledge and skills in data engineering through specialized training programs, certifications, and hands-on experience.

The choice of programming language for data engineering depends on the specific requirements and the technology stack used within an organization. However, popular languages for data engineering include Python, Java, and Scala, as they offer extensive libraries, frameworks, and toolkits for data processing, manipulation, and analysis.

FAQ’S OF DATA ENGINEER COURSE IN GWALIOR

To acquire training in data engineering in Gwalior, you have the option to enroll in reputable institutes like DataMites®. They offer comprehensive data engineering courses in Gwalior through online or classroom modes, providing hands-on training, practical projects, and expert guidance to develop your data engineering skills.

The DataMites Certified Data Engineer Training in Gwalior covers a wide range of topics, including data engineering concepts, tools, and technologies such as Hadoop, Spark, and SQL. The training program comprises interactive sessions, practical assignments, and real-world case studies to enhance your understanding and proficiency in data engineering.

The duration of the DataMites Data Engineer Course in Gwalior can vary depending on the chosen learning mode. Generally, for online instructor-led training, the course duration is typically around 6 months with 150+ learning hours, while the duration may differ for self-paced learning options.

The cost of DataMites Data Engineer Training in Gwalior can vary, ranging from approximately INR 26,548 to INR 68,000.

Yes, upon successful completion of the Data Engineer training from DataMites®, you will receive certifications. DataMites offers globally recognized certifications from organizations such as IABAC (International Association of Business Analytics Certifications), NASSCOM FutureSkills Prime, and JainX in collaboration with Jain (Deemed-to-be) University.

The eligibility criteria for enrolling in the Data Engineer Course in Gwalior at DataMites® may vary. Generally, individuals with a background in computer science, mathematics, or related fields, as well as professionals aspiring to work in data engineering roles, are eligible to enroll.

The duration to become certified by the IABAC (International Association of Business Analytics Certifications) can vary depending on the specific certification and individual preparation. It typically requires rigorous study, practical experience, and successfully passing the certification examination.

The specific documents required for the training session at DataMites may vary based on the course and program. Typically, participants are advised to bring a valid ID proof, such as a government-issued ID card, and any specific documents mentioned in the communication received from DataMites.

DataMites® accepts various payment methods for their training programs, including online payment through credit cards, debit cards, net banking, and other digital payment options.

Yes, upon successful completion of the Data Engineer Course from DataMites®, you will receive a Data Engineer Course Completion Certificate. This certificate acknowledges your successful completion of the course and serves as evidence of your proficiency in data engineering concepts and techniques.

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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