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Data Analyst Course

Start Date: TBD
Academic Timeline: 310 hours | 13 months
Campus: Live online learning model
Meetings Per Week: 2-3
Rating: 4.8

Data Analytics Course Overview

Jumpstart your career in data analytics with our Data Analyst online course, designed to develop essential analytical skills for deriving insights from data.

The course aims to equip participants with the foundational data analysis techniques and tools necessary to succeed in roles that demand precision, insight, and strategic data use. This program focuses on statistical analysis, data manipulation, and visualization techniques using industry-standard tools such as Excel, SQL, Python, and Tableau. You’ll learn to interpret complex data sets, create meaningful visualizations, and make data-driven decisions that impact business outcomes.

Skills You Will Gain Completing Our Data Analytics Training Program

  • Proficiency in Excel and SQL for data manipulation and querying.
  • Expertise in Python for data analysis and machine learning applications.
  • Advanced visualization skills using Tableau and other BI tools.
  • Statistical analysis and inference to support decision-making.
  • Practical problem-solving with real-world data sets.

As a Qualified Data Analytics Course Graduate You’ll Be Prepared for Roles Such As:

  • Data Analyst
  • Business Analyst
  • Data Consultant
  • Market Research Analyst
  • Operations Analyst

Industries You’ll Be Able to Work in With Our Online Data Analytics Course

  • Business and Finance
  • Healthcare
  • Retail and Consumer Goods
  • Technology
  • Government Analytics

Why Study Data Analysis at Embedded Academy

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Who is the Data Analyst Course for?

  • Individuals who want to enter the tech industry and have no programming background.
  • Graduates of colleges or universities who wish to specialize in the field of Data Analysis.

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Admission Requirements

  • Basic computer skills (operating Windows OS).
  • Basic knowledge of mathematics and statistics (no need to be a mathematician, just the basics).
  • No previous coding experience is required.

Data Analyst Curriculum

Data Analyst Track: From Novice to Expert

Launch your career in Data Analyst with our most comprehensive educational track. This program is meticulously designed to provide you with an all-encompassing understanding of the field, ensuring you achieve the highest level of expertise.
Key Features:

  • Holistic Learning: Engage with all modules, gaining a thorough and well-rounded proficiency in Data Analyst .
  • Beginner-Friendly: Tailored for newcomers with little to no prior experience, providing a supportive environment for those taking their first steps into this dynamic field.
  • In-Depth Immersion: Dive deep into the subject matter over a 9 to 12-month period, allowing ample time for concept absorption and practical application.
  • Extensive Curriculum: Benefit from an impressive 0 academic hours of instruction, covering a wide array of essential topics and cutting-edge techniques.

This track is your gateway to becoming a proficient Data Analyst expert, equipping you with the knowledge, skills, and hands-on experience needed to excel in this rapidly evolving and in-demand area of technology.

Tuition

Payment Plans

As Low As

$330/Month

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Head of the department
teacher-image-Alex-Shoihat

Meet your instructor

Alex Shoihat

Head of Machine Learning Departments

Alex holds a B.Sc. in Information Systems and an M.A. in Electrical and Electronic Engineering.

As a Machine Learning Engineer at Embedded Academy, Alex specializes in the field of artificial intelligence, applying over 13 years of experience in project development, management, and transitioning from development to production in various domains such as Linux Embedded.

Throughout his career, Alex developed his expertise working with the integration of Machine Learning and Deep Learning in the Computer Vision and Data Analysis field.

Data Analyst Certification

Data Analyst Certification

Students must complete the following to be eligible for Data Analyst certification:

  • Participation in at least 80% of the course hours
  • Submission of a final project / final exam with a score of 70 and above
  • Obligation to submit course assignments, including exercises, homework, and projects

Career Advisory

As part of the professional experience each graduate undergoes we help in integrating them into the high-tech world through our job search assistance, personalized resume building, and placement in a technology company.

1

Curriculum customization

We'll help you choose and structure the right program most suitable for your needs and career aspirations.

Curriculum customization

2

Tech Training

Students who start with no prior knowledge of the field will receive the fundamentals required to complete the course.

Tech Training

3

Final Project

Working on your course project and internship with experienced developers.

Final Project

4

Internship

Get real-world experience adapted to industry standards and requirements with our team of industry-leading engineers.

Internship

5

Job Interview

Graduates get resume-building assistance, interview simulations and career guidance.

Job Interview

What do our graduates say?

FAQ

What are the admission requirements for the Data Analyst program?

The admission requirements for the Artificial Intelligence Development program are as follows:

Professional knowledge interview + examination.
Background and/or experience in development.
Engineers and graduates in the field of sciences — an advantage.
Knowledge and experience with the Linux operating system — an advantage.

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What jobs will I be able to find after completing the Data Analyst program?

The field of data analysis is gaining more and more significance across a wide range of life's domains. As a result, the demand from tech companies for skilled professionals in this field is on the rise. Leading companies in industries such as finance, healthcare, security, autonomous vehicle development, and more are constantly seeking skilled data analysts.

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Are there homework assignments, exams, or projects?

Homework assignments, portfolio development, and knowledge assessments are part of the course structure and are designed to align with industry requirements and provide professionally taught material and relevant knowledge according to the demands of the tech industry.

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Where do classes in the Data Analyst program take place?

Currently, all classes in the Data Analyst program take place online.

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