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The IBM Data Science Professional Certificate provides learners with a thorough grounding in data science, the role of the data scientist in our world, and the approaches they use to solve real-world challenges. You will grow familiar with popular data science tools, including Jupyter notebooks, RStudio IDE, and IBM Cloud. And you will become skilled in using data science methodology to build, test, and train data models.<br><br>
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IBM Data Science Professional Certificate MORE INFO
About Course The IBM Data Science Professional Certificate provides you with a thorough grounding in data science, the role of the data scientist in our world, and the approaches they use to solve real-world challenges. You will learn how to work with Python, and become proficient in various Python libraries such as pandas, NumPy and BeautifulSoup. You will develop a project in Python to test and demonstrate your knowledge. Other skills you learn during the course will also enable you to design data science models and AI applications. SKILLUP.ONLINE MORE INFO
Who Should Enroll On This Program Individuals who are keen to begin their career in data science. Individuals looking to land their first data science job. Experienced developers seeking to upskill, enhance their data science knowledge, and participate in projects. SKILLUP.ONLINE MORE INFO
Skills You Will Gain After completing this course, you will have: Competence in building, testing, and training data models. Practical knowledge of Python libraries; pandas and NumPy. A thorough understanding of data science methodology. An understanding of databases and SQL; practical application using real- world datasets. A deep understanding of how machine learning works using Sci-Kit and SciPy. In-depth knowledge of how data scientists solve real-world problems using data sets. Valuable skills in Matplotlib, Seaborn, Folium, Plotly and Dash libraries to create impactful data visualizations Hands-on experience of implementing data science tools: Jupyter Notebook, RStudio IDE, GitHub, DB2 and IBM Cloud. SKILLUP.ONLINE MORE INFO
Common Questions Related IBM Data Science 1. What is data science? Data science is a blend of programming tools, statistical analysis, algorithms, and machine learning principles. The goal of a data scientist is to utilize all of these instruments to discover meaningful patterns hidden in raw data. And it is data science that provides the framework and methodologies to achieve this. SKILLUP.ONLINE MORE INFO
2. What skills does a data scientist need?a science? Data scientists should have a good understanding of data analysis as well as strong programming skills. They need to develop skills in two distinct areas: Technical Skills - To be a good data scientist, you must excel in mathematics and statistics. However, other technological expertise is also required, including programming, knowledge of analytical tools, and the ability to manage unstructured data. Non-Technical Skills - An individual’s soft skills - sometimes referred to as people skills - are classified as non-technical. To be a good data scientist, you need exceptional business sense, strong communication skills, and data intuition. SKILLUP.ONLINE MORE INFO
3. What are the various job roles within data science? Within data science, there are many roles for data scientists to perform: Data Scientist - A data scientist investigates data trends in order to assess their influence on a company. Data Analyst - A data analyst analyzes data to determine market trends. Data Engineer – A data engineer is in charge of creating, designing, and managing an organization’s database(s). Business Intelligence Analyst - A business intelligence analyst assists in the analysis of data, with the aim of increasing the efficiency of the organization and generating more revenue. Marketing Analyst - A marketing analyst researches and recommends which products should be produced for which target clients, and at what prices they should be offered. SKILLUP.ONLINE