Get ready to become a data scientist. Gain practical experience and in-demand skills to become employable in as little as five months. No prior knowledge is necessary.
Prepare yourself for a career in the rapidly growing field of data science. This program will equip you with the necessary skills, tools, and portfolio to gain a competitive advantage in the job market as an entry-level data scientist in just 5 months. No prior knowledge of computer science or programming languages is required.
Data science involves the collection, cleaning, organization, and analysis of data with the aim of extracting valuable insights and predicting future outcomes. The demand for skilled data scientists who can effectively communicate data-driven stories to inform business decisions has never been higher.
Throughout the program, you will learn sought-after skills used by professional data scientists, including database management, data visualization, statistical analysis, predictive modeling, machine learning algorithms, and data mining. You will also gain hands-on experience with the latest languages, tools, and libraries such as Python, SQL, Jupyter notebooks, Github, Rstudio, Pandas, Numpy, ScikitLearn, Matplotlib, and more.
By the end of the program, you will have developed a portfolio of data science projects that will give you the confidence to excel in job interviews. Additionally, you will have access to IBM’s Talent Network, where you can explore job opportunities, receive personalized recommendations based on your skills and interests, and access valuable tips and tricks to help you stand out from the competition.
It’s worth noting that upon completion of the program, you can earn up to 12 college credits as it is ACE® recommended.
One of the highlights of this Professional Certificate is its focus on applied learning. You will have the opportunity to engage in a series of hands-on labs in the IBM Cloud, allowing you to gain practical skills that are directly applicable to real-world jobs.
The tools you will be using include Jupyter / JupyterLab, GitHub, R Studio, and Watson Studio. Additionally, you will work with various libraries such as Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, and more.
Tasks you will finish:
Utilizing the Pandas Python package, extract and graph financial data
To query demographic data sets about schools, crimes, and the census, use SQL.
Utilize data science Python packages to organize data, produce graphs, and develop regression models to forecast home prices.
Build a dynamic Python dashboard to track, analyze, and enhance the dependability of domestic flights in the US.
Utilize and contrast machine learning classification techniques to determine the likelihood of loan case repayment.
In order to determine whether a space launch can reuse a rocket’s first stage, train and compare machine learning models.
What You’ll Learn
- Master the most up-to-date practical skills and knowledge that data scientists use in their daily roles
- Learn the tools, languages, and libraries used by professional data scientists, including Python and SQL
- Import and clean data sets, analyze and visualize data, and build machine learning models and pipelines
- Apply your new skills to real-world projects and build a portfolio of data projects that showcase your proficiency to employers
Get ready for a Data Science career.
Get training at the professional level from IBM.
Show off your expertise on projects that are ready for a portfolio.
Obtain an IBM credential that is accepted by employers.
Become eligible for popular job titles: Data Architect, Data Scientist, and Junior Data Scientist
