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Ready to dive into the world of Professional Data Analytics?

Interested in becoming a data analyst but unsure where to start? Our beginner program offers a systematic approach to expertise, providing you with vital skills for success in data analytics.

Program Summary

In the dynamic realm of Data Analytics, practical skills are paramount. Our Data Analytics Virtual Internship and Training Program, designed for all levels of expertise, provides the essential knowledge and hands-on experience necessary for success in Data Analytics.

In addition to a comprehensive curriculum covering analytics tools, R and Python programming languages, SQL database administration, data visualization, etc., you'll also have the chance to put your knowledge into practice through our virtual internship program. This immersive experience will enhance your confidence and skills, enabling you to succeed as a Data Analyst. Don't just study theory – acquire practical experience with our virtual internships.

Why Refonte Learning's Data Analytics Course is the Best Fit for You

Concrete Projects, Real-World Experience
In-Depth Skill Enhancement
Seasoned Guidance
Potential Internship

Program Specifics

Requirement

Engaged in bachelor's or postgraduate studies

Period

3 months

Dedication time

12-14 Hours/Week

Career Result

Data Scientist, Data Analyst, ML Engineer

Competencies you'll develop

Introduction to Program
Python for Business Analytics
EDA and Data Visualization
SQL Database
Machine Learning and Predictive Modelling
Deep Learning Methods & Techniques
Model Optimization & Problem-Solving Techniques
Application to Industry Projects

Expertise Featured

Introduction to Program
Python for Business Analytics
EDA and Data Visualization
SQL Database
Machine Learning and Predictive Modelling
Deep Learning Methods & Techniques
Model Optimization & Problem-Solving Techniques
Application to Industry Projects

Tools Taught

Educational Mentors

PhD Helena Ferreira

Department of Data Analytics

Helena Ferreira, our professor and mentor for Data Analytics Training & Internship, is a seasoned Sr. Business Analyst with over 13 years of experience in computer science. A passionate educator and trainer, she has conducted research on Advanced Regression, developed algorithms for cab retention, delved into financial econometrics and quantitative risk forecasting, and explored big data analytics in banking and financial services.

Helena Ferreira

Your Educational Path

Unlock the power of data visualization with Tableau! This beginner-friendly workshop provides a solid foundation for exploring your data and crafting insightful visualizations. Learn essential concepts and techniques to demystify Tableau and turn your data into meaningful stories.

A conversation about how the nature of data influences the decision between creating maps for spatial data and using pie charts for categorical data.

A comprehensive guide demonstrating the effective use of advanced Excel functions to enhance your spreadsheet skills.

Need clarification about the course? Get in touch with us

Application DETAILS

Enroll today with just three easy steps and dive into our rich learning opportunities to start your educational journey.

Step 1

Sign Up

Register and complete your application for the course/program that catches your interest

Step 2

Buy

Complete the payment for the course fees to enroll and reserve your place.

Step 3

Kickstart your learning

Your learning journey kicks off with the next cohort - don't miss it!

Admission Prerequisites

Obligatory: Working towards a bachelor's or higher-level degree

We delight in recognizing your successes

Upon successful completion of the program, Refonte Learning offers two certificates: a Training Certificate and a Certificate of Internship. Students who demonstrate outstanding performance may receive a Letter of Recommendation and a Certificate of Appreciation for their achievements. In addition, top performers will be rewarded with exclusive prizes such as Amazon vouchers, gift hampers, and personalized T-shirts.

Advantages of the Program

Concrete Projects, Real-World Experience
In-Depth Skill Enhancement
Potential Futures

Application Fees

We believe in making our programs accessible to everyone. That's why we offer a variety of financing options, including competitive rates as low as 0% interest and no hidden costs. You can also choose to make a convenient one-time payment.

Equated Monthly Installment payment options

Explore budget-friendly EMI plans with reputable finance firms. Overcome financial obstacles and stay focused on your personal development.

Credit/Debit Card and Paypal

Costs as low as

Installment I: 204

Installment II: 98

Pay in intervals

One-Time Payment Options

Experience the ease and flexibility of a single payment, allowing you to start your career journey without any hassle.

Credit/Debit Card and Paypal / Online Banking

Total Enrollment Costs

300

Pay the total sum

Don't just take our say-so!

Get the scoop on what the community is saying about us

Refonte Learning has been an incredible resource for advancing my skills in data analytics. The courses are comprehensive, well-structured, and taught by industry experts. The hands-on projects provided valuable practical experience, and the support from instructors and fellow learners in the community forums was exceptional. Highly recommend for anyone looking to dive deep into the world of data analytics!

John D.

Curtin University

As someone transitioning into the field of data science, I can't express how grateful I am for Refonte Learning. The platform offers a wide range of courses covering everything from the basics to advanced topics in data science. The interactive lessons and real-world case studies helped me gain a deeper understanding of complex concepts. Plus, the career resources and networking opportunities have been invaluable in helping me land my dream job. Thank you, Refonte Learning!

Sarah K.

QUT (Queensland University of Technology)

Refonte Learning exceeded my expectations when it came to learning about business analytics. The courses were not only informative but also engaging, with interactive quizzes and assignments that reinforced key concepts. What sets Refonte apart is their focus on practical application – I was able to immediately apply what I learned to my job and saw tangible results. Whether you're a beginner or seasoned professional, I highly recommend Refonte Learning for mastering business analytics.

Michael L.

Charles Sturt University

I've always been interested in digital marketing, but I struggled to find comprehensive resources until I discovered Refonte Learning. Their courses cover everything from SEO and social media marketing to email campaigns and content strategy. The instructors are knowledgeable and provide clear explanations, making complex topics easy to understand. The platform is user-friendly, and the flexibility to learn at my own pace was a huge plus. Thanks to Refonte Learning, I've been able to enhance my skills and take my career in digital marketing to the next level.

Emily M.

University of Miskolc

Refonte Learning has been an incredible resource for advancing my skills in data analytics. The courses are comprehensive, well-structured, and taught by industry experts. The hands-on projects provided valuable practical experience, and the support from instructors and fellow learners in the community forums was exceptional. Highly recommend for anyone looking to dive deep into the world of data analytics!

John D.

Curtin University

As someone transitioning into the field of data science, I can't express how grateful I am for Refonte Learning. The platform offers a wide range of courses covering everything from the basics to advanced topics in data science. The interactive lessons and real-world case studies helped me gain a deeper understanding of complex concepts. Plus, the career resources and networking opportunities have been invaluable in helping me land my dream job. Thank you, Refonte Learning!

Sarah K.

QUT (Queensland University of Technology)

Refonte Learning exceeded my expectations when it came to learning about business analytics. The courses were not only informative but also engaging, with interactive quizzes and assignments that reinforced key concepts. What sets Refonte apart is their focus on practical application – I was able to immediately apply what I learned to my job and saw tangible results. Whether you're a beginner or seasoned professional, I highly recommend Refonte Learning for mastering business analytics.

Michael L.

Charles Sturt University

I've always been interested in digital marketing, but I struggled to find comprehensive resources until I discovered Refonte Learning. Their courses cover everything from SEO and social media marketing to email campaigns and content strategy. The instructors are knowledgeable and provide clear explanations, making complex topics easy to understand. The platform is user-friendly, and the flexibility to learn at my own pace was a huge plus. Thanks to Refonte Learning, I've been able to enhance my skills and take my career in digital marketing to the next level.

Emily M.

University of Miskolc

Become a part of our worldwide learning community

Be a part of our community, which includes 3500+ accomplished students that have undergone an incredible transformation, emerging as industry leaders.

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Frequently Asked Questions

What is data analytics?

Data analytics is the process of analyzing raw data to derive insights and make informed decisions.

Why is data analytics important?

Data analytics helps businesses gain valuable insights, improve decision-making, and identify new opportunities for growth.

What are the key skills needed for a career in data analytics?

Some key skills for a career in data analytics include proficiency in programming languages like Python or R, knowledge of statistics, and strong analytical skills.

What is the difference between data analytics and data science?

Data analytics focuses on analyzing data to derive insights, while data science involves a more comprehensive approach that includes data analysis, machine learning, and other advanced techniques.

What tools are commonly used in data analytics?

Commonly used tools in data analytics include programming languages like Python and R, as well as data visualization tools like Tableau and Power BI.

What industries use data analytics?

Data analytics is used in a wide range of industries, including finance, healthcare, marketing, and e-commerce, among others.

What is the role of a data analyst?

A data analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions.

What is the typical career path for a data analyst?

A typical career path for a data analyst may start with entry-level positions and progress to roles such as senior data analyst, data scientist, or data engineer.

What are some common challenges in data analytics?

Some common challenges in data analytics include data quality issues, data security concerns, and the need for continuous learning to keep up with evolving technologies.

How can I improve my data analytics skills?

You can improve your data analytics skills by taking online courses, participating in hands-on projects, and staying updated with the latest trends in the field.

What are some popular data analytics certifications?

Some popular data analytics certifications include Certified Analytics Professional (CAP), Microsoft Certified: Data Analyst Associate, and Google Data Analytics Professional Certificate.

How can data analytics benefit small businesses?

Data analytics can benefit small businesses by helping them gain insights into customer behavior, improve operational efficiency, and make informed business decisions.

What is the role of data visualization in data analytics?

Data visualization is important in data analytics as it helps in presenting complex data in a visual format that is easy to understand and interpret.

What are some ethical considerations in data analytics?

Ethical considerations in data analytics include ensuring data privacy, maintaining data security, and using data responsibly to avoid biases and discrimination.

What are some emerging trends in data analytics?

Some emerging trends in data analytics include the use of artificial intelligence and machine learning, the rise of edge analytics, and the increasing focus on data ethics and privacy.

Ready to fulfill your dream of becoming a Professional Data Analytics?

Begin your journey with Refonte International's Training & Internship Program for comprehensive training, valuable certificates, and exciting future opportunities.

Apply Now