Unlocking Insights: Data Analysis Expertise
Gain in-demand skills to unlock insights and drive decision-making in any industry.
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Data Engineer Training in Pune
Unlock the power of data with ETLHive’s comprehensive Data Engineering course! This course is designed for aspiring data professionals who want to build expertise in managing, transforming, and analyzing data at scale. Covering essential skills like SQL, ETL processes, data warehousing, and cloud platforms, our curriculum also includes hands-on projects with tools like Apache Spark, Hadoop, and Python, preparing you to handle real-world data engineering challenges.
Course highlights:
- In-depth modules on SQL, Python, and big data frameworks
- Hands-on training with tools like Spark, Hadoop, and AWS
- Real-world projects and case studies
- Placement assistance and career guidance
Python Programming(Basic and Advanced)
Data manipulation with pandas & numpy and Data visualisation with Tableau
Machine Learning with scikit, sklearn, scipy and statsmodels.
Web scraping and Time Series
forecasting
Text processing, NLP, Image processing with Neural Networks(ANN,RNN,CNN etc.)
Resume | Interview | Certification preparation for IABAC and IBM certification.
Syllabus
- Overview of Data Engineering
- Role and Responsibilities of a Data Engineer
- Data Engineering vs. Data Science vs. Data Analytics
- Key Tools and Technologies in Data Engineering
Python for Data Engineering
- Data structures, loops, conditionals, and functions
- Libraries for data manipulation: Pandas, NumPy
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SQL for Data Engineering
- Basics of SQL: Queries, Joins, Aggregations
- Advanced SQL: Window Functions, CTEs, and Subqueries
- Query optimization and performance tuning
- ETL Pipelines
- ETL concepts: Extract, Transform, Load
- Data ingestion and transformation
- Tools: Apache NiFi, AWS Glue
- Data Warehousing
- Star schema Snowflake schema
- Introduction to cloud data warehouses: Redshift, BigQuery
- OLAP vs OLTP
- Introduction to Big Data
- Understanding Big Data and its 3 Vs (Volume, Velocity, Variety)
- Introduction to Hadoop
- HDFS (Hadoop Distributed File System)
- YARN (Yet Another Resource Negotiator)
- MapReduce
- Apache Spark
- Spark core concepts: RDDs, DataFrames, and SparkSQL
- Parallel processing and distributed computing with Spark
- Spark for data transformation, aggregation, and analytics
- Distributed Databases
- CAP Theorem, consistency, availability, partition tolerance
- Cassandra, HBase: Columnar data stores for large scale datasets
- Real-World Big Data Pipeline
- Design and implement a basic pipeline using Hadoop or Spark
- Data’storage transformations, and Cuerying
- Advanced Cloud Service
- AWS Glue: Managed ETL&
- Cloud data solutions
- Advanced-Data Engineering
- High-availability and fault-tolerant designs
- Scalability strategies
- DevOps for Data Engineering
- CI/CD pipelines, Jenkins, Gitlabe
- Infrastructure as Code: Terraforme
- Containerization: Docker, Kubernetes
- Data Security
- Data encryption
- Authentication and RBAC
- DSA
- Arrays, hashmaps
- Stacks
- Trees (binary trees, heaps)
- Graphs, sorting (QuickSort, MergeSort)
- Time and space complexity
- System Design
Scalable and fault-tolerant systems
- Data warehousing designz
- Event-driven architecture
- Apache Kafka: A distributed streaming platform for real-time data ingestion. (High-Level overview)
- Apache Airflow: A workflow orchestration tool for scheduling and managing data pipelines. (High-Level overview)
- Snowflake: A cloud-based data warehouse solution. (High-Level overview)
- Informatica: A commercial data integration platform for ETL/ELT processes. (High-Level overview)
- Hive: A data warehouse software framework for reading, writing, and managing large datasets stored in distributed storage systems like Hadoop
Programming Languages & Tools
Certificates
Obtaining Your Certification
Upon successful completion of any course at Etlhive, participants receive a certificate attesting to their proficiency in the respective subject matter. These certificates serve as tangible evidence of the skills acquired during the training, enhancing the credibility of individuals in the job market and validating their expertise to potential employers. Etlhive certificates are recognized for their industry relevance and are highly regarded by leading organizations, providing a competitive edge to certificate holders. The validation process ensures that the certifications are earned through rigorous learning and assessment methods, reflecting real-world application and mastery of the concepts taught. With Etlhive certificates, individuals can showcase their commitment to continuous learning and professional development, opening doors to new career opportunities and advancement prospects. Students can have option for IBM Certificate also.
Training students for leading brands
Frequently asked questions
While some basic programming knowledge (like Python) is beneficial, our course is designed to teach you everything from scratch. We provide training in essential programming skills needed for Data Analytics, making it easy for beginners to grasp.
Yes, upon successful completion of the course, you will receive an industry-recognized certification from ETLHive that demonstrates your expertise in Data Analytics.
Yes, we provide placement assistance to all our students. Our dedicated placement team will help you with resume building, interview preparation, and connecting you with hiring companies in the data analytics field.
The course typically spans 3 to 6 months, depending on the learning pace and mode of study (weekday or weekend batches). It includes live projects, practical assignments, and hands-on sessions.
Our Data Analytics course is open to anyone with a passion for working with data. Whether you are a fresher, a working professional, or someone looking to switch careers, you can benefit from this course. Basic knowledge of mathematics or statistics is helpful but not mandatory.
Yes, the course includes multiple real-time projects that give you the opportunity to apply the skills you’ve learned to solve real-world business problems. This practical experience enhances your learning and makes you job-ready.
Graduation in any stream, Freshers or working professionals who either wish to start their career as a Data Scientist or wish to switch from their previous profile into mainstream analytics.
Our Placements
We don’t give just assurances, we actually placed candidates
Testimonials
"I have completed an 8-month online data science course from the Etlhive-Wakad in Pune city. I took their structured online course to get me into the IT field, and I am very satisfied and proud of my decision. It is the best online course.
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