CERTIFIED DATA ENGINEER CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ENGINEER LEAD MENTORS

DATA ENGINEER COURSE FEES IN RAIPUR

Live Virtual

Instructor Led Live Online

110,000
62,423

  • 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
35,773

  • 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
67,548

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

ARE YOU LOOKING TO UPSKILL YOUR TEAM ?

Enquire Now

UPCOMING DATA ENGINEER ONLINE CLASSES IN RAIPUR

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 RAIPUR

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 RAIPUR

With the advent of big data and analytics, data engineering has become a pivotal field. According to a report by Transparency Market Research, the global data engineering market is estimated to expand at a CAGR of 15.5% between 2021 and 2031. The report emphasizes the rising need for data integration, data security, and data governance in organizations, driving the demand for skilled data engineering professionals.

DataMites offers a comprehensive Data Engineer course in Raipur, designed to equip students and professionals with the necessary skills and knowledge required for a successful career in data engineering. The course duration is 6 months, comprising over 150 learning hours. It includes 50+ hours of live online training, providing participants with the opportunity to engage with expert instructors in real-time. The course also encompasses 10 capstone projects and 1 client project, allowing learners to gain hands-on experience in solving real-world data engineering challenges. 

Additionally, participants receive a 365-day Flexi Pass, granting them 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 Raipur. These courses provide the flexibility to learn at one's own pace, with pre-recorded lectures and comprehensive study materials.

There are several reasons why choosing DataMites for Data Engineer training in Raipur is advantageous. 

  • First and foremost, DataMites boasts experienced trainers, including renowned expert Ashok Veda, along with a dedicated faculty team. 

  • The course curriculum is comprehensive, covering all the essential topics and technologies required to excel as a data engineer. 

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

  • DataMites offers flexible learning options including online data engineer course in Raipur and data engineer training offline in Raipur, allowing individuals to balance their training with other commitments. 

  • The course includes projects that involve working with real-world data, enabling learners to gain practical experience. Data Engineer Internship opportunities are also provided to further enhance their skills and industry exposure. 

  • DataMites offers Data Engineer course with placement assistance and job references to help students kickstart their careers in data engineering. 

  • Participants receive hardcopy learning materials and books to support their studies. DataMites also provides an exclusive learning community where learners can collaborate and network with peers and industry professionals. 

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

Raipur is the capital city of the state of Chhattisgarh, India. It is a vibrant and rapidly developing city with a growing technology sector. Pursuing a Data Engineer certification in Raipur can open doors to promising career opportunities in the field of data engineering, both within the city and beyond. The city's strategic location, coupled with its expanding business landscape, makes it an attractive destination for professionals seeking to establish themselves in the data engineering field. Additionally, Raipur's cultural heritage, culinary delights, and proximity to natural attractions add to the overall liveliness of the city.

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

ABOUT DATA ENGINEER COURSE IN RAIPUR

Data engineering involves the design, development, and management of systems and processes for the collection, storage, processing, and analysis of large volumes of data. It focuses on building robust data pipelines, managing databases, ensuring data quality and integrity, and enabling efficient data processing and analysis for organizations to derive valuable insights and make data-driven decisions. Data engineering encompasses tasks such as data ingestion, data transformation, data integration, and the implementation of data infrastructure and technologies to support the organization's data needs.

To pursue a data engineering career in Raipur, consider the following steps:

a. Acquire a strong foundation in mathematics, statistics, and programming.

b. Learn programming languages such as Python or SQL.

c. Gain proficiency in database management systems and data manipulation techniques.

d. Familiarize yourself with big data technologies like Hadoop, Spark, and cloud platforms.

e. Enhance your skills through practical projects and real-world data engineering experience.

Benefits of undergoing training as a Data Engineer include:

a. Acquiring in-demand skills and knowledge in data engineering technologies and methodologies.

b. Enhancing job prospects and career opportunities in various industries.

c. Gaining practical experience through hands-on projects and industry-relevant case studies.

d. Keeping up with the latest trends and advancements in the field of data engineering.

The future outlook for data engineering is promising. With the exponential growth of data and the increasing reliance on data-driven decision-making, the demand for skilled data engineers is expected to continue rising. Data engineers play a crucial role in managing and processing data to extract meaningful insights and drive business outcomes.

Prerequisites for enrolling in a Data Engineer Course in Raipur may vary depending on the specific program and institute. Generally, a basic understanding of mathematics, statistics, and programming concepts is beneficial. Knowledge of databases, SQL, and programming languages like Python or Java can also be advantageous.

The cost of Data Engineer Training in Raipur can vary depending on factors such as the institute, program duration, and delivery mode (online or classroom). Typically, the fees for data engineer training in Raipur range from 40,000 INR to INR 1,00,000.

Yes, the choice of the best institute for data engineering training depends on various factors such as the curriculum, faculty expertise, industry connections, alumni reviews, and training delivery modes. DataMites is indeed considered one of the top institutes for data engineering training. They offer a comprehensive curriculum that covers the essential concepts, tools, and techniques of data engineering. The institute provides industry-relevant projects and hands-on experience to ensure practical learning. With experienced instructors, DataMites aims to provide a strong foundation in data engineering and equip students with the necessary skills and knowledge to excel in the field.

Upon completing Data Engineer Training, various job opportunities become available, such as Data Engineer, Database Administrator, ETL Developer, Big Data Engineer, and Cloud Data Engineer. These roles can be found in industries such as technology, finance, healthcare, e-commerce, and more.

While experience can be beneficial, some entry-level Data Engineer positions may be open to individuals with no prior experience. Starting as a junior data engineer or gaining practical experience through internships or projects can provide opportunities to enter the field and develop necessary skills.

Data Engineer Training is significant and valuable as it equips individuals with the skills and knowledge needed to excel in the field of data engineering. The training covers essential concepts, tools, and techniques, allowing individuals to build robust data pipelines, manage databases, and ensure efficient data processing and analysis. This expertise is crucial in today's data-driven world, where organizations rely on data for informed decision-making and business success.

FAQ’S OF DATA ENGINEER COURSE IN RAIPUR

To obtain data engineering training in Raipur, DataMites is the best place to consider. Datamites offers comprehensive data engineering courses that cover essential concepts, tools, and techniques. They provide industry-relevant projects, hands-on experience, and expert guidance to help you develop the necessary skills. With experienced instructors and a strong focus on practical learning, Datamites ensures that you gain a solid foundation in data engineering.

The DataMites Certified Data Engineer Training program in Raipur covers a wide range of topics including data engineering concepts, tools, and technologies such as Hadoop, Spark, SQL, and data pipeline development. It includes hands-on projects and practical exercises to enhance your skills.

Eligibility criteria for enrolling in the Data Engineer Course at DataMites® in Raipur 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 of the DataMites Data Engineer Course in Raipur varies based on the learning mode selected. Typically, online instructor-led training lasts for approximately 6 months, comprising more than 150 learning hours. However, the duration may differ for self-paced learning alternatives.

Yes, DataMites® provides classroom training for Data Engineer courses in Raipur along with online training options. You can choose the training mode that suits your preferences and convenience.

The trainers for the Data Engineer Course in Raipur at DataMites® are experienced professionals with expertise in data engineering concepts, tools, and industry practices. They provide guidance, mentorship, and support throughout the training program.

DataMites® offers various training methods for data engineering courses, including instructor-led online training, classroom training, and self-paced learning options. You can select the method that aligns with your learning preferences and schedule.

Yes, DataMites® provides the option to attend demo classes before paying the course fee. This allows you to experience the teaching style, course content, and interact with instructors to make an informed decision.

Yes, DataMites® offers the flexibility to pay the course fee in installments. We understand the financial constraints some learners may have and provide the option to divide the course fee into manageable installments. This allows individuals to pursue their data engineering training while easing the financial burden.

DataMites® offers Data Engineer Courses with placement assistance in Raipur. They provide career support and guidance to students, which includes resume building, interview preparation, and connecting with potential employers to help secure job opportunities.

DataMites® accepts a range of payment methods for their training programs. You can make payments conveniently through online channels using credit cards, debit cards, net banking, and other digital payment options. This flexibility enables learners to choose the payment method that suits their preferences and ensures a smooth and secure transaction process.

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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