Courses offered

• Power Bi Developer
• Data Analyst
• Data Engineer
• Data Scientist
• Business Analyst
• AI Engineer

Who is a Power BI
developer

• Power BI developers create interactive data visualizations using Microsoft Power BI.
• They turn raw data into insights for decision-making.
• They collaborate with stakeholders to understand data needs.
• Their role is essential for businesses to make informed decisions.

What do they do?

• Power BI developers create interactive and visually appealing data dashboards and reports.
• They collaborate with stakeholders to understand data requirements.
• Power BI developers translate complex data into understandable and actionable insights.
• Their work helps drive informed decision-making within organizations.

Main Skills to Gain:

• Proficiency in Microsoft Power BI.
• Strong data visualization skills.
• Experience with data modeling and preparation.
• Ability to create interactive dashboards and reports.
• Familiarity with DAX language.
• Knowledge of SQL for data manipulation.
• Attention to detail in dashboard design.
• Communication skills for collaboration.

Different Names of This Role

• Business Intelligence Developer
• Data Visualization Specialist
• Dashboard Designer
• BI Analyst
• Reporting Analyst
• Analytics Developer
• Data Insights Developer
• BI Consultant
• Data Storyteller
• Dashboard Developer

To Get Into This Role, Focus On

• To excel in a Power BI developer role, focus on mastering the Microsoft Power BI software and data visualization techniques.
• If you enjoy creating visually appealing and insightful dashboards and reports, this role is ideal for you.

Future Steps:

With more experience, Power BI developers can specialize in advanced data visualization techniques or move into leadership roles such as Business Intelligence Manager or Analytics Director.

Roadmap:

Start your journey as a Power Bi Developer with AiAdvanc comprehensive Power Bi Roadmap

Courses offered

• Power Bi Developer
• Data Analyst
• Data Engineer
• Data Scientist
• Business Analyst
• AI Engineer

Who is a Data Analyst

Data Analysts are like the detectives of the data world. They dig through data to uncover clues that help businesses make smarter decisions.

What do they do?

They gather, clean, and analyze data to help businesses make informed decisions. They work with spreadsheets, databases, and visualization tools to find patterns and trends in data. Think of them as storytellers, translating complex data into understandable insights for everyone.

Main Skills to Gain

• Strong analytical skills
• Proficiency in SQL, Excel and Power BI
• Data visualization techniques
• Problem-solving abilities

Different Names of This Role

• Business Analyst
• Data Specialist
• MIS Analyst
• Analytics Consultant

To Get Into This Role, Focus On

Becoming great at analyzing data and telling stories with it. If you’re curious and like solving problems, this is for you.

To Get Into This Role, Focus On

Becoming great at analyzing data and telling stories with it. If you’re curious and like solving problems, this is for you.

Future Steps

With more experience, Data Analysts can become experts in specific business areas or move into Data Scientist or Data Engineer roles.

Roadmap

Start your journey as a Data Analyst with AiAdvanc comprehensive Data Analyst Roadmap

Courses offered

• Power Bi Developer
• Data Analyst
• Data Engineer
• Data Scientist
• Business Analyst
• AI Engineer

Who is a Business Analyst

A Business Analyst (BA) is a professional who acts as a liaison between business stakeholders and the technical team (such as software developers, engineers, or data analysts) in an organization. Their primary role is to analyze business processes, identify areas for improvement, and propose solutions to help the organization achieve its goals more effectively.

What do they do?

• Business Analysts analyze business processes, gather requirements from stakeholders, and document them for projects or system changes.
• They bridge the gap between business needs and technical solutions, ensuring that projects align with organizational goals and deliver value.
• Through stakeholder
  communication, process optimization, and solution design, they drive efficiency and effectiveness within organizations.

Main Skills to Gain

• Key skills for a Business Analyst include requirements elicitation, stakeholder management, data analysis, problem-solving, communication, and domain knowledge.
• Proficiency in relevant software tools and project management
  methodologies is also essential for success in the role.

Different Names of This Role

• Systems Analyst
• Business Systems Analyst
• Requirements Analyst
• Business Consultant
• Product Analyst
• Process Analyst

To Get Into This Role, Focus On

Focus on becoming adept at data analysis and storytelling. If you’re naturally curious and enjoy problem-solving, this role is perfect for you.

Future Steps

Experienced Business Analysts can progress into senior roles, including Business Consultant, Project Manager, or Product Manager.

Roadmap

Start your journey as a Business Analyst with AiAdvanc comprehensive Business Analyst Roadmap

Courses offered

• Power Bi Developer
• Data Analyst
• Data Engineer
• Data Scientist
• Business Analyst
• AI Engineer

Who is a Data Engineer

• Data engineers are specialists who design and construct the systems that collect, store, and process data efficiently.
• They create the foundation on which data analysts and
  scientists work, enabling businesses to make better decisions based on insights drawn from data

What do they do?

• They design and build systems to collect, store, and process data effectively. They work with databases, programming languages, and big data technologies to ensure that data flows smoothly from source to analysis.
• Think of them as architects and builders, constructing the infrastructure that enables businesses to make sense of their data.

Main Skills to Gain

• Proficiency in Python/Java/Scala.
• Strong database skills (SQL, NoSQL).
• Experience with big data tools (Hadoop, Spark).
• Data pipeline design and implementation.
• Cloud platform familiarity (AWS, Azure, GCP).
• Data modeling and schema design.
• Real-time data processing.
• Version control (Git).

Different Names of This Role

• Data Architect
• Big Data Engineer
• Database Engineer
• ETL (Extract, Transform, Load) Engineer
• Data Infrastructure Engineer
• Data Pipeline Engineer
• Analytics Engineer
• Business Intelligence Engineer
• Data Platform Engineer
• Data Integration Engineer

To Get Into This Role, Focus On

• To excel in data engineering, focus on building robust data pipelines and infrastructure.
• If you’re curious and enjoy tackling complex problems, this role is perfect for you.

Future Steps

With more experience, Data Engineers can specialize in advanced data engineering techniques or move into leadership roles such as Data Engineering Manager or Solutions Architect.

Roadmap

Start your journey as a Data Engineer with AiAdvanc comprehensive Data Analyst Roadmap

Courses offered

• Power Bi Developer
• Data Analyst
• Data Engineer
• Data Scientist
• Business Analyst
• AI Engineer

Who is a Data Scientist

• Data scientists are professionals who utilize statistical analysis, machine learning, and data visualization techniques to derive insights from complex datasets.
• They uncover patterns, trends, and correlations within the data, helping businesses make informed decisions.
• Data scientists often work closely with data engineers, who design and build the systems that enable data collection, storage, and processing.
• Together, they form the backbone of a data-driven organization, facilitating smarter decision-making and driving innovation.

What do they do?

• Data scientists apply statistical analysis, machine learning, and data visualization techniques to extract insights from complex datasets.
• They work with databases, programming languages, and big data technologies to uncover patterns and trends within the data.
• Think of them as detectives, delving into the data to uncover valuable insights that drive business decisions and innovations

Main Skills to Gain

• Proficiency in Python/Java/Scala.
• Strong database skills (SQL, NoSQL).
• Experience with big data tools (Hadoop, Spark).
• Data pipeline design and implementation.
• Cloud platform familiarity (AWS, Azure, GCP).
• Data modeling and schema design.
• Real-time data processing.
• Version control (Git).
• Strong statistical and mathematical background.
• Experience with machine learning algorithms and techniques

Different Names of This Role

• Machine Learning Engineer
• Predictive Analytics Specialist
• Quantitative Analyst
• Research Scientist
• Business Intelligence Analyst
• Data Mining Engineer
• Applied Scientist
• Decision Scientist
• Computational Statistician
• Analytics Consultant

To Get Into This Role, Focus On

• To excel in a data scientist role, focus on mastering statistical analysis and machine learning techniques.
• If you’re passionate about uncovering insights from data and enjoy solving complex problems, this role is ideal for you.

Future Steps

With more experience, Data Engineers can specialize in advanced data scientist techniques or move into leadership roles such as Data science Manager or Data Product Manager.

Roadmap

Start your journey as a Data Scientist with AiAdvanc comprehensive Data Scientist Roadmap

Courses offered

• Power Bi Developer
• Data Analyst
• Data Engineer
• Data Scientist
• Business Analyst
• AI Engineer

Who is a AI Enginner

• AI engineers develop and deploy artificial intelligence (AI) models and systems.
• They apply advanced algorithms to automate tasks and solve complex problems.
• AI engineers collaborate with data scientists and data engineers.
• Their work enables organizations to harness the power of AI for innovation and decision-making.

What do they do?

• AI engineers design and implement AI solutions.
• They leverage advanced algorithms to automate tasks and solve complex problems.
• AI engineers collaborate with data scientists and engineers.
• Their work drives innovation and enables data-driven decision-making.

Main Skills to Gain

• Proficiency in Python, Java, or Scala.
• Understanding of machine learning algorithms.
• Experience with TensorFlow or PyTorch.
• Knowledge of data preprocessing techniques.
• Familiarity with big data tools like Hadoop and Spark.
• Ability to work with cloud platforms (AWS, Azure, GCP).
• Experience in model deployment.
• Strong problem solving skills.
• Continuous learning in AI and ML.
• Effective communication.

Different Names of This Role

• Machine Learning Engineer
• Deep Learning Engineer
• AI Developer
• AI Specialist
• AI Architect
• Neural Network Engineer
• Cognitive Engineer
• AI Software Engineer
• Algorithm Engineer
• AI Research Engineer

To Get Into This Role, Focus On

• To excel in an AI engineer role, focus on mastering programming languages like Python and Java, as well as machine learning and deep learning techniques.
• If you’re passionate about building intelligent systems
  and enjoy solving complex problems with AI, this role is ideal for you

Future Steps

• Progressing to more senior roles such as AI Team Lead or AI Architect.
• Transitioning into management roles such as AI Engineering Manager or Director of AI.

Roadmap

Start your journey as a AI Enginner with AiAdvanc comprehensive AI Engineer Roadmap