Introduction :
In the year 2024 if you choose your career as a Data Analyst, then there are lots of new opportunities waiting for you. With our comprehensive modern roadmap, you will be able to become a next-level data engineer in today's data-driven world. If you enjoy mathematical puzzles and dealing with statistics, then Data Scientist may be the ideal career choice for you. You don't need to pay extra money in classes for data science. The path to a brighter career will open to you when you choose our free online courses for data analyst.
What is Data Analyst?
Main responsibility of a data analyst is to collect data, process and analyze it to draw useful insights. which can be used for making informed business decisions. They use Different tools and techniques for data collection, mining, cleaning and data processing. It can be used to improve efficiency, sales figures, market research, logistics costs which can support accurate decision-making.
Now your question is how can I become a data analyst? Well, Top Free Course is the best platform to learn a diverse range of high-quality online course for data science all available for free. Start your learning journey with us without breaking the bank.
Different Opportunities After Learning Data Analyst Skills
Data engineering is very high in demand right now in almost every sector all over the world. There are some exciting opportunities waiting for you after learning data analyst. For example…..
1. Business Intelligence Analyst
Business intelligence analysts main role is to collect and process data to make data-driven decisions to improve services and sales for organizations to reach their goals.
2. Marketing Research Analyst
A Marketing Research Analyst helps brands and companies to build marketing strategies. They use data to understand customer's behavior to improve sales.
3. Data Scientist
Main role as a data scientist is to develop complex algorithms for solving data-driven problems which help to make informed decisions.
4. Data Engineer
Data Engineers build systems for the organization or company and manage their data for better performance.
5. Operations Analyst
After completing data analytics courses or data analytics certification, if you get a job as an operation analyst in e-commerce, your main role is to watch warehouse and delivery operations.
Data Analyst Learning Roadmap
1. Learn Basic Fundamentals
To become a data analyst you can understand the basics of mathematics and statistics to understand and interpret complex datasets…
2. Learn Master Tools
You need to Learn data analysis tools like SQL, Excel, Tableau, RapidMiner, and Python for data manipulation and cleaning…
3. Enhance Data Visualization Skills
You need to learn different types of data visualization tools like Tableau or Microsoft Power BI to understand the trends and insights….
4. Understand Business Acumen
Develop an ability to become well-versed in the data analysis process related to the company or industries to present your insights to key stakeholders.
5. Dive into Machine Learning
Learn some basic fundamentals of machine learning to become a master in data analytical concepts...
6. Build a Strong Portfolio
Create A professional data analytics portfolio to showcase your projects and your problem-solving skills for the real world….
7. Stay Updated
If you want to be successful in this field, you should always keep yourself updated with the latest trends, tools, and techniques….
Learning Path by Different Free Courses
Hey! Are you thinking of becoming a data analyst? Are you finding data analyst classes online or offline? You don't need to pay extra money for this, you don’t need a specific degree or a particular background, You just need to learn data analytics courses, and Top Free Course provides you world-class, high-quality courses all For Free. So what are you waiting for? Join now, Bookmark it... and Share it...
1. Introduction to Data Analytics
Course Link: Introduction to Data Analytics
In this course, we will explain what Data Analytics is and the key steps in the Data Analytics process. Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst Describe the different types of data structures, file formats, and sources of data Describe the data analysis process involving collecting, wrangling, mining, and visualizing data
2. Data Analytics Fundamentals
Course Link: Data Analytics Fundamentals
This free course will teach you how to analyze data at your own pace. Whether you're experienced or just starting. You'll learn the step-by-step process of effective data analysis, understand why AWS services are important, and get familiar with basic setups and benefits. You'll also explore real-life examples and practice hands-on solutions. Join now and level up your data skills!
3. Data Visualization and Dashboards with Excel and Cognos
Course Link: Data Visualization and Dashboards with Excel and Cognos
In this tutorial, you will learn how to Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets. Explain the important role charts play in telling a data-driven story. Construct advanced charts and visualizations such as Treemaps, Sparklines, Histogram, Scatter Plots, and Filled Map Charts. Build and share interactive dashboards using Excel and Cognos Analytics.
4. Databases and SQL for Data Science with Python
Course Link: Databases and SQL for Data Science with Python
This advanced course is specially designed to understand the basics of Analyzing data within a database using SQL and Python. Create a relational database and work with multiple tables using DDL commands. Construct basic to intermediate-level SQL queries using DML commands. Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.
5. AWS Machine Learning Foundations
Course Link: AWS Machine Learning Foundations
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 Deep Lens, Deep Racer, and Deep Composer. Master the process of preparing, building, training, and deploying top-notch ML models using Amazon Sage Maker. Also, pick up best practices for object-oriented programming.
Why spend extra money on data science programs and classes, if you have a wide range of world-class, high-quality courses to learn data analytics for Free. Top Free Course is a free platform to learn for the global community.
Conclusion
The scope of a data analyst is very high and demanding in today's data driven world. In this decade data is a lifeline of every sector, so it is very critical to organize a huge amount of data for every organization. That's why demand for data analysts is increasing day by day….
With our comprehensive modern roadmap for data analyst you will be able to learn some basic fundamentals like some commercial knowledge or business acumen, good organizational skills, and an ability to meet deadlines and machine learning to become a master in data analytical concepts...
