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Data Analyst COURSE

What is Data Analysis?

“Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. In today's business world, data analysis plays a role in making decisions more scientifically and helping businesses operate more effectively.” (Wikipedia)

 With our course you can become a Data Analyst in just four months.

Who should pursue a career in Data Analytics?

Individuals who have strong analytical skills

You are likely to approach problems logically and STEM classes were your favorite in school.

College graduates
You would most likely need to have your college degree completed or nearing graduation. To enter this field most majors are acceptable.

People familiar with Statistics

It is important to have some basic understanding of statistics.

Motivated individuals

Having motivation is the key to advancing, changing or starting a career.

Why pursue a career in Data Analytics?

Growing demand on Data Analysts
In order to successfully compete in the markets that constantly generate a huge amount of information, major companies adopted data-driven decision management which requires investments into their analytics departments. According to the U.S. Bureau of Labor Statistics the number of jobs will increase by 28% by 2026 which is significantly higher than 7.7%, the average across all occupations.

Education in Statistics is not a strict requirement to enter the field
Of course, having a relevant education is always a plus, but because of the high demand many companies are willing to hire individuals who can demonstrate strong Data Analytical skills. 

Creating career opportunities by combining your education and experience with Data Analytics
Whether your college major is in STEM, business or social sciences, having practical DA skills would increase your value in the job market and open new opportunities for higher salary and better jobs. If you already have experience, having DA skills combined with the knowledge of your domain would give you an advantage to get that promotion you wanted.

Data Analytics offers many career avenues
While Data Analyst is generally a common job title, there are other related titles such as Business Data Analyst, Market Analyst, Insight Analyst, etc. Each title depends on the industry or the field. There are plenty of opportunities in advancing careers and entering more technical (and high paid) positions such as Data Scientist, Data Engineer, or Big Data Engineer. Depending on the field, managerial positions will also be available to experienced individuals.

Data Analytics jobs are well-paid
According to, the majority of Data Analyst salaries range between $55,756 (25th percentile) to $92,928 (75th percentile) with an average $84,321 in New York. The salary is increased “based on skill level, location and years of experience”.

Data Analysts can work remotely providing more flexibility 
A new trend for many employees is to be partly or fully remote. Some companies, such as Google, announced in 2021 that some employees can work in the office for three days per week, while Facebook made some of the jobs remote permanently.

Why take our Data Analysis course?

This is a package course – an all-inclusive to start a Data Analyst career
Our Data Analytics course package includes all the elements you need to start your career in Data Analytics - Python programming, advanced Excel, Tableau, and SQL - giving you the confidence to demonstrate your value to your future employer during the hiring process.

The course focuses on teaching universal Python programming language
Half of the course’s time is dedicated to learning Python programming which is a universal object-oriented language and can be used in many areas and tasks including data science, AI, development, automation, etc. Working knowledge of Python provides an advantage and many opportunities in highly paid tech careers.
Our Data Analytics course introduces Data Science techniques
While Data Analytics can be considered as a first step to more technically advanced Data Science, the course gently introduces non-technical students to data mining and machine learning topics. Combined with these skills students demonstrate fundamental knowledge not only in descriptive but also in predictive analytics, making them more desirable candidates in the job market.

Affordable real-time instructor-led course
Our instructor-led Data Analytics course is reasonably priced in comparison to the similar courses in the market, which gives an opportunity to many people. Our instructors will guide you through the learning process giving you motivation and confidence in your career transition journey.

Instructors are highly experienced professionals working in New York
Our live Data Analytics course is being taught by highly experienced instructors working full-time in the industry mainly in the New York metropolitan area, giving students an opportunity to get hands-on training at a very center of global businesses. This allows students to build expertise relevant to their future employment environment in global companies.

We have been conducting data analytics and data processing courses since 1999
We have been conducting courses for more than 20 years and, our long-lasting experience in data analytics and data processing training ensures our students' success, helping hundreds of people to launch their careers in a variety of industries, including IT, financial, telecommunication, pharmaceutical, IT healthcare and others.

Approved by the New York State Education Department
Our school is licensed, and the Data Analytics training is approved by the New York State Education Department, which ensures the protocols to protect the rights of our clients, giving them a peace of mind and reducing financial risks.


Only four months to learn the Data Analyst profession
Our course curriculum is designed to teach only important Data Analyst work topics without unnecessary “detours” which allow students to be ready to start their career in only about four months. This timeframe sets a realistic and achievable employment plan without spending additional years in college.

Weekday evening and weekend sessions
The course schedule includes only weekday evenings and weekends, which allows one to work full-time and attend the training without quitting the current job and losing income. This flexible schedule takes the pressure off – you can learn a new profession and still attend to other life commitments.

Data Analysis Course Structure

To provide effective and up-to-date training we do three things: we analyze the current market requirements, we consult with our pool of subject matter experts, and we rely on feedback from our students.

Learning Data Analytics includes two main components: concepts and implementation.

  • Learning concepts provides understanding of what and why we are doing for the analysis

  • The implementation part gives practical skills on how to perform the analysis using software tools

Combined together these two elements allow us to tell a meaningful and engaging story, create insightful reports for management, or answer crucial questions to help in designing effective strategy.

Statistics Basics

Some people may feel that their knowledge of statistics is a bit rusty, so by teaching this module, we ensure that everyone has the same level of familiarity with the subject.

Advanced Excel

In this module, we go over the most popular fundamental techniques such as formulas, pivot tables, different types of visualizations, and data analysis tools. 

SQL Databases

This module teaches how to work with relational databases, more specifically how to extract and manipulate data using queries and statements.


Tableau is one of the most popular data visualization tools in the market allowing flexibility in building dashboards, calculations, and advanced data visualization techniques.


First things first, let’s learn the fundamentals of Python programming such as data types, loops and iterators, working with files and functions, OOP, and other concepts.

DA with Python

Now we will practice Python to analyze data and create visualizations using Python Libraries, such as Numpy, Pandas, Seaborn, etc.

Machine Learning

We will learn Machine Learning and Data Mining; how to prepare data and use implementation of supervised and unsupervised learning models.


We will practice all learned skills in the capstone project.

Duration: 16 weeks

The number of weeks depends on holidays and the schedule.

Start: October 2023

Please contact us for start dates. All start dates will be confirmed in advance.


Tuesday 7PM-9:30PM
Wednesday 7PM-9:30PM
Thursday 7PM-9:30PM
Sunday 10AM-3:30PM
Eastern Standard Time
The schedule is subject to change.

Training Type: Remote

This is a remote instructor-led training.


  $ 2,550  

Payment plan: We offer three installments payment plan. First payment of $1,000 (registration), second payment of $1,000 (30 days after the start), $550 (60 days after the start). We have flexible refund policy. Please call for details.

Tuition Assistance: You may be eligible for a training grant. Please visit our Tuition Assistance page for more information or contact us.

Feel free to contact us if you would like to request the course details, have any questions about the course, need a free career advice, or find out your eligibility for tuition assistance.

Post-Training Career Coaching: Let's get you hired

Our career coach can help you get through the job search process to land your first job. This includes one-on-one sessions on resume preparation, LinkedIn profiles, interview preparation, and interview analysis. There are group projects conducted during practice sessions that can be included in resumes. There are also free sessions discussing best practices and careers in IT. We see great success and quicker results for students who work with our career coach.


One-on-one career coaching services are optional and are not included in the course price. Please call for details.

Where Our Students Work
Our Success Stories

Yuri, Senior Developer / Data Analyst
"As a Sr. Developer I highly recommend courses at SAM Career Center.  In particular Data Analysis, SAS Programming, MS BI.  I like their virtual classes option."

Oleg, Senior Analyst
"SAM Career Center is an excellent place to learn the latest, cutting-edge technologies. I took a Business Analysis Comprehensive Course (with Data Analysis), Business Intelligence course and am planning to take many more courses with them. The place is professionally run, teachers are knowledgeable, and you will meet the community of job seekers that will help you to build yourself up."

Alexander, Project Manager
"The Data Analysis programs in this school are very beneficial and relevant to the market. Moreover, they add new fresh modules and classes on a constant basis to meet the highest requirements of the IT industry. I highly recommend SAM Consulting Services to anyone."

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