Do you believe it is possible to become a Data Scientist or Machine Learning Engineer without a computer science (CS) degree? While a CS degree can provide a strong foundation in programming and computer systems, it is not the only path to a career in data science. Data science is an interdisciplinary field that combines elements of mathematics, statistics, programming, and domain expertise. Data science is a rapidly growing field that encompasses various aspects of programming, analytics, and artificial intelligence. In Bangladesh, Study Mart, an online platform, offers a range of high-quality paid courses in collaboration with aiQuest Intelligence, an esteemed edTech company. With a specialization in Python, Django, Machine Learning, Data Science, Data Engineering, and Artificial Intelligence, Study Mart provides comprehensive learning opportunities for individuals at all skill levels. In this article, we will explore each course offered by Study Mart in detail, enabling you to choose the best option for your career advancement. As a fresher in the data science field, you can start any course from 1-4. Then based on your working field/choice you can enroll in the rest of the courses. But, if you want to become a Data Scientist (Data Scientist Skills), all courses are essential-
- Complete Python with Problem-Solving:
Python is a versatile programming language widely used in data science. This course focuses on developing problem-solving skills using Python. You will learn how to write clean and efficient code, understand algorithms, and solve coding challenges. By the end of the course, you’ll be proficient in Python programming and ready to tackle complex data-related problems. Visit Course Module!
- Data Science and Machine Learning with Python:
This course is ideal for those interested in mastering the fundamental concepts of data science and machine learning using Python. You will learn basic Python, then how to preprocess data, build predictive machine learning models, evaluate their performance, hyperparameter optimization techniques, and basic neural networks. With hands-on projects and real-world datasets, you’ll gain valuable experience in applying machine learning algorithms to solve complex problems. Visit Course Module!
- SQL for Data Science:
Structured Query Language (SQL) is a fundamental data manipulation and analysis tool. This course focuses on teaching SQL from scratch to advanced, covering essential concepts such as querying databases, aggregating data, and performing operations. Whether you’re a beginner or have some experience with SQL, this course will enhance your data-handling abilities. Visit Course Module!
- Become a Data Analyst:
This is an amazing course. Designed for aspiring data analysts, this course equips you with the skills to extract and present insights from data effectively. You will learn data visualization techniques, statistical analysis, and data querying using SQL. By the end of this course, you will have a strong foundation in data analysis and be capable of making data-driven decisions. You will learn advanced Excel, PowerBi, Tableau, Google Data Studio, Basics SQL, and Python for data analysis, and amazing Projects. Visit Course Module!
- Deep Learning for Computer Vision and NLP with Python:
Deep learning has revolutionized computer vision and natural language processing (NLP). This course provides a comprehensive understanding of deep learning algorithms, optimization techniques, activation functions, and their applications in image recognition and NLP tasks. Through more than 10 hands-on projects, you’ll gain experience in building and training deep neural networks for various real-world applications. Visit Course Module!
- Become a Big Data Engineer:
In this course, you will delve into the world of big data and learn how to handle and process massive datasets. You will explore technologies such as Hadoop, Spark, and Hive and gain data ingestion, storage, and analysis expertise. By mastering big data engineering techniques, you’ll be well-equipped to tackle the challenges of working with large-scale data projects. Visit Course Module!
- Cloud Computing with AWS:
Cloud computing is an integral part of modern data-driven applications. This course introduces you to Amazon Web Services (AWS) and teaches you how to deploy, manage, and scale applications in the cloud. From virtual machines to serverless computing, you’ll gain hands-on experience with AWS services and understand the benefits of cloud computing for data-driven projects. Visit Course Module!
- Statistics for Data Science:
A strong foundation in statistics is crucial for any data scientist. This course covers essential statistical concepts, including probability theory, hypothesis testing, regression analysis, and more. With practical examples and exercises, you’ll gain the necessary statistical knowledge to analyze data accurately and draw meaningful conclusions. Visit Course Module!
Study Mart offers an impressive selection of data science courses in collaboration with aiQuest Intelligence, catering to the diverse needs of individuals in Bangladesh. Whether you are a beginner seeking to enter the field or an experienced professional looking to enhance your skills, these courses provide the knowledge and practical experience required to excel in the domains of Python, Django, Machine Learning, Data Science, Data Engineering, and Artificial Intelligence. By subscribing to Study Mart, you gain access to insightful tutorials, practical examples, and the latest industry trends, empowering you to unlock the power of data-driven solutions and embark on a successful career journey.
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