PRINT
PDF
WORD
CSV
EXCEL
Moocable is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
IBM Data Science study partner
25th July, 2022
Last date to join: 2nd August, 2022
Dear fellows, I am currently studying IBM Data Science and I am on the 4th course now (Python for Data Science, AI & Development), I am looking for a study partner with whom we can code, and solve different case studies, and data science problem. I am a full-time student until I complete the IBM Data Science Professional Certificate. I'm available on LinkedIn, let us have a chat if you are interested in group study and problem-solving. Thanks and Regards Mir M.
Novice
English
Description
Prepare for a career in the high-growth field of data science. In this program, you’ll develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist in as little as 5 months. No prior knowledge of computer science or programming languages is required. Data science involves gathering, cleaning, organizing, and analyzing data with the goal of extracting helpful insights and predicting expected outcomes. The demand for skilled data scientists who can use data to tell compelling stories to inform business decisions has never been greater. You’ll learn in-demand skills used by professional data scientists including databases, data visualization, statistical analysis, predictive modeling, machine learning algorithms, and data mining. You’ll also work with the latest languages, tools,and libraries including Python, SQL, Jupyter notebooks, Github, Rstudio, Pandas, Numpy, ScikitLearn, Matplotlib, and more.Upon completing the full program, you will have built a portfolio of data science projects to provide you with the confidence to excel in your interviews. You will also receive access to join IBM’s Talent Network where you’ll see job opportunities as soon as they are posted, recommendations matched to your skills and interests, and tips and tricks to help you stand apart from the crowd. This program is ACE® and FIBAA recommended —when you complete, you can earn up to 12 college credits and 6 ECTS credits.Applied Learning ProjectThis Professional Certificate has a strong emphasis on applied learning and includes a series of hands-on labs in the IBM Cloud that give you practical skills with applicability to real jobs.Tools you’ll use: Jupyter / JupyterLab, GitHub, R Studio, and Watson StudioLibraries you’ll use: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.Projects you’ll complete:Extract and graph financial data with the Pandas Python libraryUse SQL to query census, crime, and school demographic data setsWrangle data, graph plots, and create regression models to predict housing prices with data science Python librariesCreate a dynamic Python dashboard to monitor, report, and improve US domestic flight reliabilityApply and compare machine learning classification algorithms to predict whether a loan case will be paid off or notTrain and compare machine learning models to predict if a space launch can reuse the first stage of a rocket
IBM Data Science
Microcredentials 
Coursera
Free to Audit 
5 months at 10 hours a week 
Beginner 
Paid Certificate Get notified about new study groups every week!
IBM Data Science study partner
25th July, 2022
Last date to join: 2nd August, 2022
Affiliate notice
Dear fellows, I am currently studying IBM Data Science and I am on the 4th course now (Python for Data Science, AI & Development), I am looking for a study partner with whom we can code, and solve different case studies, and data science problem. I am a full-time student until I complete the IBM Data Science Professional Certificate. I'm available on LinkedIn, let us have a chat if you are interested in group study and problem-solving. Thanks and Regards Mir M.
Novice
English
-
TypeMicrocredentials
-
ProviderCoursera
-
PricingFree to Audit
-
Duration5 months at 10 hours a week
-
DifficultyBeginner
-
CertificatePaid Certificate
Prepare for a career in the high-growth field of data science. In this program, you’ll develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist in as little as 5 months. No prior knowledge of computer science or programming languages is required. Data science involves gathering, cleaning, organizing, and analyzing data with the goal of extracting helpful insights and predicting expected outcomes. The demand for skilled data scientists who can use data to tell compelling stories to inform business decisions has never been greater. You’ll learn in-demand skills used by professional data scientists including databases, data visualization, statistical analysis, predictive modeling, machine learning algorithms, and data mining. You’ll also work with the latest languages, tools,and libraries including Python, SQL, Jupyter notebooks, Github, Rstudio, Pandas, Numpy, ScikitLearn, Matplotlib, and more.Upon completing the full program, you will have built a portfolio of data science projects to provide you with the confidence to excel in your interviews. You will also receive access to join IBM’s Talent Network where you’ll see job opportunities as soon as they are posted, recommendations matched to your skills and interests, and tips and tricks to help you stand apart from the crowd. This program is ACE® and FIBAA recommended —when you complete, you can earn up to 12 college credits and 6 ECTS credits.Applied Learning ProjectThis Professional Certificate has a strong emphasis on applied learning and includes a series of hands-on labs in the IBM Cloud that give you practical skills with applicability to real jobs.Tools you’ll use: Jupyter / JupyterLab, GitHub, R Studio, and Watson StudioLibraries you’ll use: Pandas, NumPy, Matplotlib, Seaborn, Folium, ipython-sql, Scikit-learn, ScipPy, etc.Projects you’ll complete:Extract and graph financial data with the Pandas Python libraryUse SQL to query census, crime, and school demographic data setsWrangle data, graph plots, and create regression models to predict housing prices with data science Python librariesCreate a dynamic Python dashboard to monitor, report, and improve US domestic flight reliabilityApply and compare machine learning classification algorithms to predict whether a loan case will be paid off or notTrain and compare machine learning models to predict if a space launch can reuse the first stage of a rocket
Learning is better with Cohorts
Active hands-on learning
Build assignments each week
Feedback loop
Submit your assignment, and receive feedback from your peers. Stuck on a problem?
Learn with a cohort of peers
Join a group of like-minded people who want to learn and grow alongside you
Frequently asked questions
Yes. Our study groups (all of them) are free to join
You join the group and study the MOOC together on a schedule. The exact dates, deadlines, are created by the host
This depends on the host of your group. Some groups have weekly video calls for accountability + doubt solving.
Moocable is a community where you can find study partners, mentors, or people to collaborate on projects. It's designed for people who want to upskill, but struggle with self-learning. Users often post about their skills, goals, and what they're looking to learn or work on, and others can respond to form partnerships or groups. You can join our community
2nd August, 2022
Get notified about new study groups every week!
Loading...
Saving...
Loading...