Learn data science in this era of new technology, is an astonishing way to accelerate your career journey. As a data scientist, many different career opportunities and job roles are waiting for you. Almost every organization depends on data to measure their performance, and most businesses rely on data-driven decisions to improve sales and services. Data science is a highly in-demand career across the continents and this roadmap will lead the way to become a data scientist. Our platform provides you with top-notch data science courses for Free.
What is a Data Science? Data science is the field of collecting, studying, and extracting data to understand insights and customer behavior, which helps businesses to improve products and performance positively. Data scientists program code and use tools to collect large amounts of data from different data sources. They create algorithms to transform meaningful information with the help of mathematics and statistics. In this era of new technologies data is the main propellant of financial management. Escalate your career as a data scientist with a Top Free Course without breaking the bank. We will guide you on what to learn to be a data scientist, what type of skills are required, and how to get there. Let’s delve into the data science program without spending a penny.
Different Opportunities After Learning Data Science As you know Data Science is a very demanding career option in this age of technology. There is an ocean of opportunities waiting for you after completing a data science degree or data science certification. Let's check it out….
1. Data Scientist Data Scientists create algorithms using programming such as Python. They work with other teams like data engineers, data analysts, and business analysts. They explore new ideas, pushing the outer limits and innovating new ideas.
2. Data Analyst Data Analysts collect, study, and extract data with the help of different tools like SQL, Python, and R. They use mathematics and statistics to transform data into meaningful information to make data-driven decisions.
3. Data Application Architect Data Application architects construct new applications and algorithms for data management systems. They build infrastructure to handle a huge amount of data and empower employees to access the information.
4. Big Data Engineer/Data Engineer Big Data Engineers build data validation architecture to enhance database performance, they build acute systems and data pipelines to process massive amounts of data for understanding the insights.
5. Machine learning engineer This position is not for beginner level, machine learning engineers experiment and create artificial intelligence that expedites machine learning. They use Python and R for Programming.
Data Science Learning Roadmap
1. Learn Python/R Programming Proficiency in programming is the first step to succeed in this field, you should learn Python programming for data science and R programming for data processing and machine learning.
2. Advanced in Mathes and Statistics If you are thinking of being a Data Scientist, You should be proficient in mathematical calculations and statistics, to create algorithms and optimize databases for machine learning.
3. Understand database management systems
To become a Data Scientist, You should Understand various database management systems and software like MySQL, Oracle Database, Neo4J, Azure SQL, Apache Cassandra, MongoDB, etc.
4. Data visualization tools Be proficient in data visualization tools like Tableau, Microsoft Power BI, Datawrapper, or Google Charts to tell the story the data is trying to show.
5. Big data technologies and Cloud Computing You need to be proficient in Big Data Engineering Tools like Kafka, Apache Hadoop, Apache Spark, etc, and Cloud Computing platforms like AWS, Azure, or Google Cloud.
6. Machine learning and Deep learning Learn how to apply machine learning algorithms, supervised and unsupervised learning, to uncover the patterns in data. understand deep learning frameworks like TensorFlow and PyTorch for natural language processing and other tasks.
Learning Path by Different Free Courses Fire up your career as a Data Scientist with our best online data science courses. Why spend extra money on data science classes, if you have a wide range of top-notch courses for data science all available at no cost. Deep Dive into the high-quality, expert courses that complement your skills and expand your realm. Start learning for Free!
Description : Get Started with Python: A Practical Introduction to Data Science. In this course, you'll learn: What Python is and how it benefits Data Science How to work with variables and conditional statements The importance of functions in Python Reading and writing data with file operations Mastering data analysis with pandas, a crucial tool in Python.
Description : Foundational R programming concepts such as data types, vector arithmetic, and indexing. How to perform operations in R including sorting, data wrangling using dplyr, and making plots
Description : This free course will introduce the basics of database systems. In addition to the traditional relational database systems, it will also introduce briefly the new paradigm of NoSQL databases used in big data systems. The topics will cover all important aspects including normalization, query processing, and transactions.
Description : Identify and work with business-oriented data sets Import and prepare data for loading into a data model Identify different types of data visualizations and their purpose Create and share fully functional Power BI reports and dashboards
Description : This course is designed to give an Introduction to students on Amazon web services. In this course, you will learn in brief the following Cloud Computing, The AWS Cloud, The Virtual Private Cloud, The Elastic Compute Cloud service, The Simple Storage Service, DynamoDB, The Lambda Compute Service, The Elastic Beanstalk, Service, The Opswork service, and Cloudformation.
Description : Learn the basics of Machine Learning and how to create and assess models. Acquire sought-after skills for businesses tackling AI challenges. Dive into advanced areas like computer vision, reinforcement learning, and generative AI. Get hands-on experience with AWS AI Devices like AWS DeepLens, DeepRacer, and DeepComposer. Master the process of preparing, building, training, and deploying top-notch ML models using Amazon SageMaker. Also, pick up best practices for object-oriented programming.
Conclusion Data Science is the most promising job profile in 2024. Today’s financial management systems are dependent on data. Almost every organization and small to big businesses invest in harnessing data’s power to improve their performance and products. Every business needs a data scientist to handle the massive amount of raw data. Data Scientist plays a crucial role in IT and Business to make informed decisions. Electing your career as a data scientist, this comprehensive roadmap leads your learning journey. Our platform provides the best online courses in data science for Free, to enhance your skills and be ready for the next step. Start your learning adventure today, for Free!
