CERTIFIED DATA ENGINEER CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ENGINEER LEAD MENTORS

DATA ENGINEER COURSE FEES IN SILIGURI

Live Virtual

Instructor Led Live Online

110,000
63,945

  • IABAC® & JAINx® 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
36,645

  • IABAC® & JAINx® 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
69,195

  • IABAC® & JAINx® 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 SILIGURI

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 SILIGURI

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
• Connecting to various data sources
• Importing data with SQL
• Managing Big data

MODULE 3: DATA PROCESSING

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

MODULE 4: DATA ENGINEERING PROJECT

• Setting Project Environment
• Data Ingestion through Pandas methods
• Hands-on: Ingestion, Transform Data and Load data

MODULE 1: PYTHON BASICS

• Introduction of python
• Installation of Python and IDE
• Python objects
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators
• Operator’s precedence and associativity

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
• String object basics and inbuilt methods
• List: Object, methods, comprehensions
• Tuple: Object, methods, comprehensions
• Sets: Object, methods, comprehensions
• Dictionary: Object, methods, comprehensions

MODULE 4: PYTHON FUNCTIONS

• Functions basics
• Function Parameter passing
• Iterators
• Generator functions
• Lambda functions
• Map, reduce, filter functions

MODULE 5: PYTHON NUMPY PACKAGE

• NumPy Introduction
• Array – Data Structure
• Core Numpy functions
• Matrix Operations

MODULE 6: PYTHON PANDAS PACKAGE

• Pandas functions
• Data Frame and Series – Data Structure
• Data munging with Pandas
• Imputation and outlier analysis

MODULE 1 : OVERVIEW OF 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
  • Simple Random Sampling
  • Stratified Random Sampling
  • Cluster Random Sampling
  • Systematic Random Sampling
  • Biased Random Sampling Methods
  • 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
  • Z Value / Standard Value
  • Empherical Rule  and Outliers
  • Central Limit Theorem
  • Normality Testing
  • Skewness & Kurtosis
  • Measures Of Distance: Euclidean, Manhattan And MinkowskiDistance

MODULE 4 : HYPOTHESIS TESTING 

  • Hypothesis Testing Introduction
  • P- Value, Confidence Interval
  • Parametric Hypothesis Testing Methods
  • Hypothesis Testing Errors : Type I And Type Ii
  • One Sample T-test
  • Two Sample Independent T-test
  • Two Sample Relation T-test
  • One Way Anova Test

MODULE 5 : CORRELATION AND REGRESSION 

  • Correlation Introduction
  • Direct/Positive Correlation
  • Indirect/Negative Correlation
  • Regression
  • Choosing Right Method

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 WAREHOUSE FOUNDATION

• Data Warehouse Introduction
• Database vs Data Warehouse
• Data Warehouse Architecture
• 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
• Data Lake Architecture
• Data Warehouse vs Data Lake

MODULE 3: DATA SOURCES AND DATA IMPORT

• Types of data sources
• Databases: SQL and Document DBs
• Connecting to various data sources
• Importing data with SQL
• Managing Big data

MODULE 4: 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 5: DOCKER AND KUBERNETES FOUNDATION

• Docker Introduction
• Docker Vs. regular VM
• Hands-on: Running our first container
• Common commands (Running, editing, stopping, and managing images)
• Publishing containers to DockerHub
• Kubernetes Orchestration of Containers
• Build Docker on Kubernetes Cluster

MODULE 6: 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 7: 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 Lamdba overview
  • AWS Glue overview
  • AWS Kinesis overview
  • AWS Dynamodb overview
  • AWS Anthena overview
  • AWS Redshift overview

MODULE 2 : DATA INGESTION USING AWS LAMDBA 

  • Setup AWS Lamdba  local development env
  • Deploy project to Lamdba console
  • Data pipeline setup with Lamdba
  • Validating data files incrementally
  • Deploying Lamdba function

MODULE 3 : DATA PIPELINE WITH AWS KINESIS 

  • AWS Kinesis overview and setup
  • Data Streams with AWS Kinesis
  • Data Ingesting from AWS S3 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 Blog Storage

MODULE 7: AZURE DATA FACTORY

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

MODULE 8 : DATA ENG PROJECT WITH AZURE/AWS

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

MODULE 1: DATA WAREHOUSE FOUNDATION

• Data Warehouse Introduction
• Database vs Data Warehouse
• Data Warehouse Architecture
• 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
• Data Lake Architecture
• Data Warehouse vs Data Lake

MODULE 2: DOCKER FOUNDATION

• Docker Introduction
• Docker Vs. regular VM
• Hands-on: Running our first container
• Common commands (Running, editing, stopping and managing images)
• Publishing containers to Docker Hub
• Kubernetes Orchestration of Containers
• Build Docker on Kubernetes Cluster

MODULE 3: KUBERNETES CONTAINER ORCHESTRATION

• Kubernetes Introduction
• Setting up Kubernetes Clusters
• Kubernetes Orchestration of Containers
• Build Docker on Kubernetes Cluster

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 : 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
• Mapping and reducing stages concepts
• Key Terms: Output Format, Partitioners, Combiners, Shuffle, and Sort
• Hands-on Map Reduce task

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
• Working with Spark SQL Query Language

MODULE 5: MACHINE LEARNING WITH SPARK ML

• Introduction to MLlib Various ML algorithms supported by Mlib
• ML model with Spark ML.
• Linear regression
• logistic regression
• Random forest

MODULE 6: KAFKA and Spark

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

DATA ENGINEER TRAINING COURSE REVIEWS

ABOUT DATAMITES DATA ENGINEER TRAINING IN SILIGURI

The global data engineering market is on a rapid growth trajectory, with a value of USD 76.67 billion in 2020 and projected to reach USD 149.51 billion by 2028. (Grand View Research) This signifies a CAGR of 8.8% during the forecast period. With the increasing adoption of technologies like big data and AI, businesses are investing in data engineering to collect, process, and analyze data efficiently. This trend presents lucrative career opportunities and promising prospects for data engineers.

DataMites offers an advanced Data Engineer Course in Siliguri designed to equip learners with the essential skills to excel in the field. The course spans 6 months, providing 150+ learning hours, including 50+ hours of live online training. Participants will engage in 10 capstone projects and a real-world client project, gaining hands-on experience. The course comes with a 365-day Flexi Pass and Cloud Lab access, ensuring continuous learning and practice. Additionally, DataMites also provides offline courses on demand in Siliguri for those seeking in-person learning options.

10 Reasons to Choose DataMites for Data Engineer Training in Siliguri:

  • Ashok Veda and Faculty: Learn from industry experts led by Ashok Veda, renowned in the data engineering domain.

  • Comprehensive Course Curriculum: The curriculum covers the latest technologies and tools essential for data engineers.

  • Global Certification: Earn prestigious certifications from IABAC, NASSCOM FutureSkills Prime, and JainX, enhancing your career prospects.

  • Flexible Learning: Choose from online data engineer course in Siliguri or ON DEMAND data engineer offline courses in Siliguri to suit your learning preferences and schedule.

  • Real-world Projects: Work on projects with real-world data, gaining valuable practical experience.

  • Internship Opportunity: Get a chance to do data engineering internship with top companies, applying your knowledge in real-world scenarios.

  • Placement Assistance: Receive dedicated data engineer course with placement support and job references for a successful career transition.

  • Hardcopy Learning Materials: Access high-quality learning materials and books for better understanding.

  • DataMites Exclusive Learning Community: Join a thriving community of learners and professionals to network and collaborate.

  • Affordable Pricing and Scholarships: Avail the course at a reasonable price and explore scholarship options to ease your financial burden.

DataMites offers a recognized Data Engineer Certification in Siliguri, validating your expertise in data engineering. Siliguri, located in West Bengal, India, is a growing tech hub with increasing demand for data engineers. Its strategic location near the international borders and connectivity with major cities opens up diverse job opportunities. Embrace the enchanting beauty of the Himalayan foothills while embarking on a rewarding journey in data engineering with DataMites in Siliguri.

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

ABOUT DATA ENGINEER COURSE IN SILIGURI

Data engineering is the backbone of data science, providing the infrastructure and tools needed to manage and process vast amounts of data. Without data engineering, data scientists and analysts would struggle to access and analyze the data essential for making informed decisions and gaining valuable insights. As organizations increasingly rely on data to drive their strategies, data engineering remains a critical field that empowers businesses to harness the power of data for success.

A data engineer course curriculum typically includes data modeling, database design, data integration, ETL (Extract, Transform, Load) processes, data warehousing, data pipelines, distributed computing, cloud technologies, and big data frameworks. Students acquire skills to design and construct data systems that efficiently handle large data volumes for analysis and decision-making purposes.

The curriculum of a data engineer course usually covers topics such as database systems, data modeling, data integration, data pipelines, cloud computing, big data technologies, data warehousing, and data quality.

Yes, data engineering is considered an IT-related profession as it involves the use of technology, programming, and software tools to manage and process data.

To pursue a career as a data engineer in Siliguri, you can start by obtaining a relevant degree or certification in data engineering or a related field. You can also gain practical experience through internships or projects, develop your skills in programming and database management, and stay updated with the latest trends and technologies in the field.

The prerequisites for enrolling in a Data Engineer Course in Siliguri may vary depending on the training provider. However, a background in computer science, data analysis, or a related field, along with basic programming and database knowledge, is typically beneficial.

After completing Data Engineer Training, you can explore job opportunities such as Data Engineer, Data Analyst, Database Administrator, ETL Developer, Data Architect, or Big Data Engineer in various industries such as technology, finance, healthcare, e-commerce, and more.

The essential skills needed for a successful data engineer include programming skills (Python, SQL), data modeling and database knowledge, ETL (Extract, Transform, Load) processes expertise, familiarity with big data technologies, proficiency in cloud platforms, data pipeline and workflow tools, data warehousing understanding, problem-solving and analytical skills, communication and collaboration abilities, and a mindset of continuous learning.

Python is widely used in data engineering for tasks such as data manipulation, data cleaning, scripting, and building data pipelines. Its simplicity, versatility, and rich ecosystem of libraries make it a popular choice among data engineers.

Pursuing a career in Data Engineering can be a promising choice, given the increasing demand for professionals who can manage and analyze large volumes of data. It offers excellent growth opportunities, competitive salaries, and the chance to work with cutting-edge technologies. However, it is important to assess your interests, skills, and career goals to determine if data engineering aligns with your aspirations.

FAQ’S OF DATA ENGINEER COURSE IN SILIGURI

If you're looking to acquire data engineering training in Siliguri, DataMites is the top choice. With their comprehensive courses, industry-relevant curriculum, and experienced instructors, they provide the ideal platform to enhance your skills and knowledge in data engineering. Their training programs are designed to equip you with the expertise needed to excel in this dynamic field.

The DataMites Certified Data Engineer Training program in Siliguri covers a comprehensive curriculum that includes:

  • Introduction to data engineering and its role in the industry.

  • Data extraction, transformation, and loading (ETL) techniques.

  • Database management systems and data modeling concepts.

  • Big data processing frameworks like Hadoop and Spark.

  • Data warehousing and business intelligence concepts.

These topics provide a solid foundation in data engineering principles and techniques, preparing participants for real-world data engineering challenges.

For the DataMites Data Engineer Course in Siliguri, the duration can be customized based on the learning mode. Online instructor-led training usually spans 6 months and encompasses over 150 learning hours.

Opting for online data engineer training from DataMites® offers several advantages:

Flexibility: Online training allows you to learn at your own pace and convenience, fitting into your schedule without the need to commute to a physical location.

Accessibility: With online training, you can access course materials and resources from anywhere, as long as you have an internet connection. This enables learning from the comfort of your home or any other preferred location.

Interactive Learning: Online training often includes interactive features such as live instructor-led sessions, virtual labs, and discussion forums, fostering engagement and collaboration with instructors and fellow learners.

Updated Content: Online training providers like DataMites® frequently update their course content to keep up with the latest industry trends and advancements, ensuring that you gain knowledge and skills relevant to the current data engineering landscape.

Cost-Effective: Online training typically has lower costs compared to in-person training, as it eliminates expenses related to travel, accommodation, and physical classroom facilities. It allows you to access quality training at a more affordable price point.

Continuous Support: Online data engineer training from DataMites® often includes dedicated support channels, such as online chat or email, where you can seek assistance from instructors and mentors throughout your learning journey.

  • The Data Engineer Course at DataMites® in Siliguri is open to individuals with a background in computer science, IT, engineering, mathematics, or related fields.

  • Professionals working in the field of data analysis, database management, or data processing can also participate in the Data Engineer Course at DataMites® in Siliguri to enhance their skills and expand their career opportunities.

  • Graduates or postgraduates looking to enter the data engineering field and acquire the necessary skills can enroll in the Data Engineer Course at DataMites® in Siliguri.

  • Individuals with a keen interest in data engineering and a willingness to learn and explore the field are eligible to participate in the Data Engineer Course at DataMites® in Siliguri.

  • Data engineering enthusiasts who want to gain a comprehensive understanding of data management, ETL (Extract, Transform, Load) processes, data integration, and related topics can join the Data Engineer Course at DataMites® in Siliguri.

DataMites provides cost-effective Data Engineer Training in Siliguri, with course fees ranging from INR 26,548 to INR 68,000, making it accessible to aspiring data engineers with varying financial capacities.

In Siliguri, DataMites® facilitates ON DEMAND classroom-based Data Engineer training, enabling students to learn in a physical classroom environment under the guidance of qualified instructors.

With the Flexi-Pass from DataMites®, learners have the flexibility to create their own learning schedule by selecting courses based on their preferences and availability. It offers convenience and freedom in learning.

Yes, upon successfully completing the Data Engineer training program from DataMites®, you will receive certifications from renowned organizations such as the International Association of Business Analytics Certifications (IABAC), Jain (Deemed-to-be University), and NASSCOM FutureSkills Prime. These certifications validate your skills and knowledge in the field of data engineering, enhancing your credibility and career prospects.

At DataMites®, the Data Engineer Course in Siliguri is led by a seasoned instructor who possesses extensive industry experience and domain expertise in data engineering. They are dedicated to delivering comprehensive and practical training to equip you with the skills required in the field.

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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