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Data Analytics and Machine Learning

This course covers Data Analytics and ML skills needed to create business impact. This will empower you with advanced skills in SQL, Python, Excel, Power BI, data warehousing, machine learning, and more. Industry experts will guide the course, providing you with the opportunity to work on industry-specific projects and case studies to maximize your opportunities for securing your ideal job. Engage in live classes and e-learning videos to master the intricacies of data science.

Who this course is for:

Course requirements

1. Prerequisites:

Educational Background: Ensure that you have a solid foundation in mathematics and statistics, as these are fundamental to data science.

Programming Skills: Familiarize yourself with a programming language commonly used in data science, such as Python or R.

2. Hardware and Software:

Computer Specifications: Make sure your computer meets the hardware requirements for the course, especially if there are specific software or tools to be used.

Software Installation: Be prepared to install and configure relevant software tools commonly used in data science, such as Jupyter Notebooks, Python, or R.

3. Internet Connection:

Reliable Internet: A stable and reliable internet connection is crucial for accessing online course materials, participating in discussions, and submitting assignments.

4. Financial Considerations:

Course Fees: Understand the financial aspects of the course, including tuition fees, and explore any available financial aid or scholarship options.

5. Legal Agreements:

Review Terms and Conditions: Read and understand the terms and conditions associated with the course, including any intellectual property agreements.

Course Curriculum

Module 1: Master SQL For Data Transformation

Thorough training in SQL for efficient data transformation.
Master SQL commands and queries to manipulate and extract data.

Module 2: Python Programming

Introduction to Python programming language.
Develop essential programming skills for data analytics and machine
learning.

Module 3: Python Libraries For Data Analysis

Explore key Python libraries (NumPy, Pandas) for effective data analysis.
Practical exercises to analyze and manipulate data using Python.

Module 4: Linear Algebra and Advanced Statistics

In-depth study of linear algebra concepts essential for machine learning.
Advanced statistical techniques for comprehensive data analysis.

Module 5: Machine Learning

Introduction to machine learning concepts and algorithms.
Hands-on implementation of machine learning models using popular
frameworks.

Module 6: Data Visualization with PowerBI

Utilize PowerBI for creating impactful data visualizations.
Develop interactive visualizations to communicate data insights effectively.

Module 7: Data Warehouse

Understanding data warehousing concepts and architectures.
Practical insights into designing and managing data warehouses.

Module 8: Big Data Engineering with Spark

Introduction to big data engineering using Apache Spark.
Hands-on experience in processing and analyzing large datasets.

Module 9: Capstone Project

Apply acquired skills to a comprehensive data analytics and machine
learning project.
Showcase proficiency in end-to-end data analysis and machine learning
implementation.

Module 10: Upskill Business Communication Sessions

Enhance business communication skills relevant to data analytics roles.
Learn effective ways to convey data-driven insights to non-technical
stakeholders.

Module 11: Career Services Sessions

Career-focused sessions covering resume building, interview preparation,
and job search strategies.
Guidance on navigating the job market and building a successful career in
data analytics and machine learning.

Career Services

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Access to GFGG IT Academy Job Portal

Exclusive access to our dedicated job portal and apply for jobs. More than 20 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

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Mock Interview Preparation

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

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1 on 1 Career Mentoring Sessions

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.

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Career Oriented Sessions

We Offer several lives interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.

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Resume & LinkedIn Profile Building

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage.

FAQ

Why should one consider enrolling in this Program?

This Data Analytics and Machine Learning training Program is led by industry experts to help you gain mastery over this domain through various skills, tools, and industry-based projects. You will gain in-depth knowledge and hands-on experience.

After completing this course and successfully executing the assignments and projects, you will receive your certification, which will qualify you for top-paying jobs around the world. Furthermore, our career services team will prepare you for future job interviews by conducting mock interviews, preparing your resume, and more.

What are the criteria for eligibility in this program?

No specific degree is required for this program, and we encourage applicants from diverse educational backgrounds. However, a solid understanding of relevant fields is essential. While a particular degree is not mandatory, applicants should have expertise or experience in the specified areas. After enrollment, participants must take an evaluation test, and a minimum score of 60% is required for qualification.

Will I have to take an assessment test to be able to study in this program?

Yes, anyone who is passionate about changing their career in IT industry is welcome to join our program with an initial knowledge test in computer and programming fundamental.

What should the candidate know before enrolling at GFGG IT Academy?

The student should have some basic knowledge of programming and have decent communication skills. Besides, knowledge of any OOP language will be preferred. However if you don’t have any technical skills knowledge, we provide free boot camp classes to our learners and you can learn programming in those sessions.

Who serves as the trainers in this Program?

The trainers of this program are top industry experts accredited by GFGG IT with tremendous knowledge in the field.

Will I get a chance to talk to industry experts?

Yes. You will be able to talk to professionals who work at top companies.

How comfortable will I be with technical interviews after successfully finishing the course?

Our placement assistance team will help you prepare well with mock interview rounds. If you have completed all the assignments and projects by the end of the course, you will not have to worry about tech interviews.

How will I receive my certification?

On completion of this Program with mandatory projects, assignments, and quizzes, you will receive industry-recognized certification from GFGG IT Academy.

Whom should I contact if I face issues?

At the time of enrollment, you will be provided with information related to your instructors, teaching assistants, and the support team. You can contact them whenever in need.

Can I do this program along with my college/job?
Do you offer financing options?

We value the candidates who wish to learn but do not have the financial bandwidth to make an upfront payment of the fees. Hence, GFGG IT Academy offers an easy No-cost EMI option to the candidates.

If I need to cancel my enrollment after starting the course, will I get a refund?
If you need to cancel your enrollment after starting the course, our refund policy is as follows:
  • During the first week of the course, a full refund will be provided.
  • In the second week, a 50% refund will be processed.
  • By the end of the third week, a 25% refund will be available.
  • After the third week, unfortunately, no refund can be provided.