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OFFERED DATA ANALYST COURSES IN MYANMAR

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ABOUT DATAMITES DATA ANALYST TRAINING IN MYANMAR

According to an Acumen Research and Consulting report, the data analytics market size is expected to reach USD 329.8 Billion by 2030 at a growing CAGR rate of 29.9%. The demand for data analytics courses in Myanmar has been increasing in recent years due to the rapid growth of digital technologies and the increasing amount of data generated by various industries. With businesses adopting data-driven strategies, there is a need for skilled professionals who can analyze and interpret data to make informed decisions.

DataMites is a renowned provider of data analytics course in Myanmar that offers the Certified Data Analyst course, which equips beginners and intermediates with a comprehensive understanding of data analytics. The program covers various areas such as data science basics, statistics, visual analytics, data modeling, and predictive modeling, making it an all-inclusive curriculum that does not require coding expertise. The main objective of the course is to prepare students for a career in data analytics by training them to identify valuable insights in unstructured data and leverage them to make informed business decisions.  The course has received approval from IABAC, a globally recognized organization, which further enhances its reputation and industry acceptance and students get IABAC certification at the end of the training. To meet industry-related requirements, DataMites provides students with a specialized syllabus, mock tests, high-quality study materials, job placement, and internship programs.

The Certified Data Analyst Course in Myanmar is a six-month course that comprises two months of live online instruction, two months of practical projects, and two months of the internship experience. This approach helps students apply their learned concepts in real-world scenarios, thus increasing their chances of securing entry-level analytics jobs. The course emphasizes the entire data analysis process, from data cleaning to visualization, and is taught by highly qualified instructors who can extract invaluable insights from raw data.

The career scope for data analysts in Myanmar is quite promising due to the increasing demand for data-driven decision-making in various industries. Data analysts play a crucial role in helping organizations gain insights from data, identify trends, and make informed decisions. Some of the industries where data analysts are in high demand in Myanmar include banking and finance, healthcare, retail, e-commerce, and telecommunications. The salary of data analysts in Myanmar ranges from MMR 6,058,300 Per year according to a World Salaries report. Join DataMites for concrete knowledge regarding the domain.

Along with the data analyst courses, DataMites also provides python training, deep learning, data engineer, data analytics, r programming, mlops, artificial intelligence, machine learning and data science courses in Myanmar.

ABOUT DATA ANALYST COURSE IN MYANMAR

FAQ’S OF DATA ANALYST COURSE IN MYANMAR

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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