We can’t deny that Data Science and AI are now important parts of every industry we see. Customer recommendations from your favorite app and predictions by companies are all made possible because of AI and data science.
Even so, the biggest question remains:
If you wish to start a career in this field, where would you begin?
The Ultimate Diploma Program in Data Science and AI covers everything from knowing the basics to being an expert in the field.
You don’t have to be a student or thought leader in tech to enjoy this blog; it shows you step by step how to learn Data Science and AI via one of the most well-organized programs around.
Step 1: Focus on strengthening your knowledge and skills.
When exploring artificial intelligence, you need to start with basics before touching fancy algorithms and neural networks.
You Will Be Taught
- When it comes to data science, Python is the chosen language.
- Key statistics, linear algebra and probability are major subjects in Math for Data Science.
- The concept behind Data Structures & Logic is knowing how data is held and processed by a computer.
- The reason it matters: The solid foundation in a skyscraper is essential. They allow you to face even tough problems in the future without much difficulty.
Step 2: Gain Skills in Using Data
Everywhere, we find messy and unstructured data. Understanding data and how to keep it clean and structured is highly important.
What You Will Be Taught:
- Preparing and Arranging Data
- Data Exploration
- For visualization, I use Matplotlib, Seaborn, Power BI and Tableau.
- With this knowledge, you can look at actual data and find hidden stories which many companies appreciate.
Step 3: Immerse yourself in Machine Learning & AI.
This step is where everything becomes exciting. Now, you will begin creating algorithms for prediction, decision-making and building clever systems.
The Things You’ll Learn:
- Examples of learning methods are Supervised Learning and Unsupervised Learning.
- Creating and reviewing models
- Three main fields included are Deep Learning, Neural Networks and NLP.
- AI is used today for image recognition, chatbots, understanding attitudes, etc.
You can do IB Mathematics without being great at math. No complicated steps here, as everything is taught through hands-on activities.
Step 5: Participate in Actual Work
You should be able to demonstrate your skills, in addition to having knowledge.
Projects You Will Be Working On:
- Movie recommendation software
- System designed to predict whether a customer will leave
- A tool for creating a sales forecast
- A chatbot relies on natural language processing.
The ultimate objective is to have a strong portfolio proving you can resolve issues with data in reality.
Step 5: Tools, Technologies and Deployment
In addition, you will be familiarized with the tools that data scientists use regularly.
What’s Included:
- People often use Python, Pandas, NumPy, Scikit-learn for this purpose.
- Among the most popular, people often rely on TensorFlow, Keras and PyTorch.
- Projects can be shared on Git, GitHub, Google Colab or Docker.
- Understanding the main features of (AWS, GCP)
- Model deployment and version control is necessary.
Bonus: Understand how to apply your models to real-life problems instead of only building them in a notebook.
Step 6: Guidance and Support for Your Career
The purpose of this program is to get you entered into the workforce and hired.
Support Includes:
- Ensuring that your resume and profile on LinkedIn are efficient
- Being ready for an interview & practicing using interview questions
- Sessions with a 1-to-1 mentor and live trainer
- Both job experience and certification matter.
Actual Outcome: Those who have taken the training have secured jobs such as Data Analyst, AI Developer, ML Engineer and similar roles, along with 2x higher salary.
The reasons behind the success of this diploma program.
- A course that teaches one step at a time
- A curriculum that involves working on projects
- You don’t need computer experience to use it.
- Support from a mentor and from the community
- Real careers and jobs won by UCLA graduates
Final Thoughts
This is the most exciting time to study Data Science and AI and the best way to do it is through a useful program that helps and prepares you for your job.
If you’re planning to work for a major tech organization, create an AI startup or even maintain your career, studying Data Science and AI could be your perfect next option.
Take a look at how IFDA helps you to have a great career by delivering the best content and practice.
