enrollment going on for  September batch

DATA ANALYTICS
WITH PYTHON AND SQL

Why Choose Data Analytics

Our Data Analytics with Python and SQL course is part of our comprehensive IT curriculum. We employ a unique six-step process that sets us apart from other boot camps nationwide, ensuring our students receive personalized, industry-specific training that prepares them to thrive in the evolving world of technology.

Presenting Our Unique Six-Step Process

1

Career Counseling

Students meet one of our experienced career advisors who evaluates the current situation and discuss goals and roadmap. The meeting’s intent and purpose are to give personalized attention and plan for a realistic and achievable roadmap. Even after the class starts, career advisors remain available on-demand basis.

2

Enrollment

We have a simple enrollment process. After the meeting with a career advisor, students sign up for an online-based Student Enrollment Agreement and an Income Share Agreement (ISA) contract. At this stage, students also receive an invoice for the first installments. Once enrolled, students get access to 40 hours of instructor-led lectures, lab practices, class notes. We also have a Learning Management System (LMS). All the class recordings, notes, and assignments became available in the LMS.

3

Lectures and Lab

All our courses are instructor-led, and follow the exact class schedule. Often the classes are blended with pre-class content sharing and live lectures. Each session is 2/3 hours long, mostly two days a week.

4

Internship

After completing training, we arrange a two to four weeks long internship with a real company where students work with an entire software development team on a whole project. We currently work closely with 12-15 mid-size software development firms who hire our students for mini internship projects.

5

Resume Building

Resume is the key to be able to set up an interview. 40% to 60% of highly qualified candidates do not make the interview table due to AI-based automatic resume scanning tools and processes that employers use. Our resume coaches have in-depth knowledge of industry inside. They know how to highlight the skills and achievements employers are looking for in a candidate’s resume. During the interview preparation sessions, students meet our interview coaches. They go through a process of technical screening to check individuals’ interview strengths. They analyze technical skills, communication skills, confidence levels. Based on that analysis, they provide the necessary guidelines. Students also receive instructions about the current job market, interview manners, differences between client & vendor.

6

Job Placement

Resume marketing and job placement is another area of our strength. Over the last eight years, we have developed working relationships with 100+ staffing partners and 30+ clients, including Capital One, Chase, IBM, Capgemini, Collabera and Tech-System, Apex System, etc. Once a student is ready to go to the market, we assign a recruiter who provides guidelines throughout the job hunting process. To extend the chances of getting hired, we create online profiles on LinkedIn, Dice, Monster, Indeed.com, etc.

Course Overview

Course Title: Data Analytics with Python and SQL

Course Type: Intensive Boot Camp

Duration: 12 weeks

Prerequisite: Highschool Math

Level: Bachelors and Masters

Weekly Engagement: Min-20 hours

what our Students say

FAQs for Data Analytics

Why Choose Transfotech Academy?
  • Expert Instructors: Learn from seasoned professionals with extensive experience in data analytics and programming.
  • CUNY Partnership: Our collaboration with Queens College enhances your educational experience and opens doors for career advancement.
  • Tailored Curriculum: Our 12-week course focuses specifically on data analytics, ensuring you gain relevant and practical skills in data manipulation, visualization, and analysis.
  • Job Placement Support: We provide personalized assistance, including resume building and interview preparation, to help you transition smoothly into the workforce.
What can I expect from the Data Analytics training in New York?

The Data Analytics training in New York is designed to equip you with essential skills in data manipulation, visualization, and analysis. You can expect a hands-on learning experience that covers everything from the fundamentals of data analytics to advanced techniques, preparing you for a successful career in the field.

Are the New York trainers DA experts?

Yes! Our trainers are seasoned experts with decades of experience. They bring practical insights to the classroom, ensuring you gain relevant skills in data analysis, data visualization, and programming. The course is designed to provide a comprehensive and practical learning experience.

How much does the Data Analytics course cost in New York?

The cost of the Data Analytics training varies based on the course duration. We offer flexible payment options, allowing you to pay for the course in installments to make it more manageable.

What is the market size of Data Analysis in New York?

The global data and business analytics market was valued at $193.14 billion in 2019 and is projected to reach $420.98 billion by 2027, growing at a CAGR of 10.9%. This growth reflects a strong demand for data analysts across various sectors, making this an ideal time to enter the field.

Are there any opportunities for hands-on practice?

Absolutely! Our Data Analytics training includes numerous hands-on exercises, group discussions, and real-world case studies. You’ll work on practical projects that simulate actual business scenarios, allowing you to apply the concepts and techniques learned throughout the course.

Who is this course designed for?

This course is perfect for anyone looking to start a career in Data Analytics, including recent graduates, IT professionals seeking to transition, or individuals aiming to enhance their analytical skill set. Whether you’re new to the field or looking to upskill, this course provides valuable knowledge and experience.

What kind of job opportunities are available after completing this course?

Graduates of the Data Analytics course can pursue various roles, including Data Analyst, Business Analyst, Data Scientist, and more. Our job placement assistance will help you connect with potential employers in the field.

How is the course structured?

The course spans 12 weeks and consists of weekly sessions that blend lectures, hands-on activities, and collaborative projects, covering essential topics in data analytics.