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Get Dual Certification - Course Completion Certificate and Internship Certificate .png.png)
What is data science?
Data science is an interdisciplinary field that involves the use of statistical, mathematical, and computational techniques to extract insights and knowledge from data. It involves collecting, analyzing, and interpreting large and complex data sets to gain insights and inform decision-making.
Why is Python a preferred language for data science?
Python is a preferred language for data science because it has a simple and easy-to-learn syntax, a large and active community of users, and a vast ecosystem of libraries and tools specifically designed for data analysis, machine learning, and visualization. Python's versatility and scalability also make it suitable for handling big data and complex analytics tasks.
What topics are covered in the Python data science course?
Data science with Python course covers various topics such as data analysis, data visualization, machine learning algorithms, statistical modeling, data manipulation, and data cleaning techniques using Python programming language.
Is there a minimum qualification for this Python and data science course?
No, there is no particular pre-requisite or qualification as we will teach all the required tools from scratch. In skill academy, we have students from all streams such as B.A(11%), B.Com(10%), B.Pharm(1%), B.Sc(14%)., BBA (12%), BCA(2%), BE/B.Tech(32%), M.A(2%), M.Com(2%), Others(14%), So if you are from any stream, this course is suitable for you.
How to choose the right data science Python course online?
To choose the right data science with Python course online, one should consider factors such as the reputation of the course provider, the course curriculum and syllabus, the availability of hands-on projects and assignments, the cost of the course, the level of support and guidance provided by the instructors, and the reviews and feedback from past students.
What kind of Python for data science certification will I get after completing the course?
Course Completion + Internship Certificate Once you fulfill the required course completion criteria, you’ll be eligible for internship/capstone project and get an Internship Certificate once you complete it successfully.
What kind of support does Skill Academy offer for Python with data science courses?
Internship Certificate on successful completion of the course along with soft skills training, session by experts, mock interviews, interview question bank, assistance in building portfolio (Resume, Github Profile, LinkedIn etc). Mentorship and Doubt Support: You can connect one-to-one with our mentors and get your doubts clarified on the spot. Skill Academy offers overall holistic learning experience which would make you job ready.
I am a working professional. How much time will I need to devote to this python data science training?
As this is a career program, you will have to devote 6 hours to engagement and 4 hours to live sessions per week. The course has been designed in recording + live format, where recorded videos will be released throughout the week and live sessions will be held on the weekends. This will help you to pace your learning according to your schedule
What happens if I miss a live session of the data science and Python course?
Although we encourage you to follow the course schedule, in case you are not able to do so for any reason, you will be able to access recordings of these classes on our platform easily for you to watch at your convenience.
How would these real-industry Python for data science projects help me?
All the projects have been meticulously chosen to brush up and give hands on to the learnings in the program. On completion of the course, you’ll proudly be able to illustrate them in your portfolios.
What are the job opportunities with Python data science courses?
Python data science courses can lead to a variety of job opportunities such as data scientist, data analyst, machine learning engineer, AI developer, and many more. As data continues to grow in importance across industries, there is a high demand for professionals with skills in Python and data science.
How will Skill Academy make me job ready in data science with Python?
Skill Academy provides Placement Training in which we will cover the following things: 1. Soft Skill Coaching: 8-10 weeks program on professional and soft skills by coaches through live sessions and recorded videos. 2. Viva Sessions: Mentor-driven module-level viva sessions to improve the understanding of core domain concepts. 3. Mock Interviews: Interview training and mock interviews conducted by recruitment experts & coaches to prepare well for the placements 4. Skill Assessments: Module level assessment on Soft Skills, Critical Thinking, Reading & writing comprehension & General Aptitude to assess and improve the skill level & professional preparedness of learners. Skill Academy will also help in Profile Building: 1. Resume Preparation: Session on Resume writing by experts and one-on-one sessions on improving learners resume to match professional quality 2. LinkedIn Profile building: Training on effective use of LinkedIn and profile creation.
How long does it take to learn Python data science course?
The time it takes to learn data science with Python can vary depending on factors such as the individual's prior knowledge and experience, the intensity of the course, and the amount of time devoted to learning. However, typically it takes around 6 to 12 months to gain a solid foundation in data science with Python.
What is the eligibility criteria for Python for data science certification?
To receive the ‘Course Completion Certificate’ & 'Internship Certificate' one must fulfil the below criteria: successfully complete 70% modules along with passing all major assignments/projects AND successfully pass the capstone/internship project.
Is it necessary to have a degree in computer science to learn data science with Python?
No, it is not necessary to have a degree in computer science to learn data science with Python. While having a computer science degree can be helpful, many data scientists come from diverse backgrounds such as mathematics, statistics, engineering, and even social sciences. The most important thing is to have a solid understanding of Python programming language and statistical concepts, which can be learned through various resources such as online courses, bootcamps, and self-study.
What are some popular libraries in Python for data science?
Some popular libraries in Python for data science are NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, and Keras.
How can I practice my data science skills with Python?
You can practice your data science skills with Python by working on real-world projects, participating in online competitions, joining online communities, attending hackathons, and experimenting with different datasets using Python libraries like NumPy, Pandas, Matplotlib, and Scikit-learn. You can also take online courses and tutorials to learn new skills and techniques, and practice applying them to different datasets.
