CERTIFIED DATA ENGINEER CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ENGINEER LEAD MENTORS

DATA ENGINEER COURSE FEES IN PANAJI

Live Virtual

Instructor Led Live Online

50,000
0

  • IABAC® Global Certification
  • NASSCOM® and JAINx Certification
  • 2-Month | 120 Learning Hours
  • 40-Hour Live Online Training
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

42,000
0

  • IABAC® Global Certification
  • NASSCOM® and 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

50,000
0

  • IABAC® Global Certification
  • NASSCOM® and JAINx Certification
  • 2-Month | 120 Learning Hours
  • 40-Hour Classroom Training
  • 10 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship + Job Assistance

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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 PANAJI

DATA ENGINEER TRAINING COURSE REVIEWS

ABOUT DATAMITES DATA ENGINEER TRAINING IN PANAJI

Data engineering is a thriving sector in the digital economy. As per a report by MarketsandMarkets, the global data engineering market is anticipated to reach $146.38 billion by 2026, at a CAGR of 15.9% during the forecast period. The report outlines the increasing importance of data lakes, data warehouses, and data pipelines in managing diverse data sources, contributing to the growth of the data engineering market.

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

Additionally, learners receive a 365-day Flexi Pass, which grants 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 Panaji. 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 Panaji is a wise decision. 

  • Firstly, DataMites boasts experienced trainers, including renowned expert Ashok Veda, along with a skilled 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 Panaji and data engineer training offline in Panaji, 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.

Panaji, also known as Panjim, is the capital city of the Indian state of Goa. It is a charming and vibrant city with a mix of colonial Portuguese architecture, beautiful beaches, and a rich cultural heritage. The city's thriving tourism industry, technology sector, and emerging startups present ample prospects for data engineers. Additionally, Panaji's laid-back atmosphere, delicious cuisine, and picturesque surroundings make it an appealing location for professionals seeking a well-rounded work-life balance.

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

ABOUT DATA ENGINEER COURSE IN PANAJI

FAQ’S OF DATA ENGINEER COURSE IN PANAJI

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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