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Data Science With Python

Data Science With Python

RM 3,200.00Price
Data Science With Python course will learn how to use Python to perform data analysis and manipulate data. This may include learning how to use Python libraries such as Pandas and NumPy to work with data. Additionally, participants will learn how to use Python to build and evaluate machine learning models, and how to use data visualization techniques to communicate findings. Overall, the goal of a Data Science With Python course is to provide participants with the skills and knowledge they need to use Python effectively for data science tasks.
 
Training Duration: 3 Days
Minimum private group training class: 5 Participants
  • Certificate Of Completion Available
  • Group Private Class
  • VILT Class Available
  • SBL-Khas Claimable
     
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For more details, may check out the entire series and blogs at Learn Python with GemRain. Learn Data Science with Python today.
 

Frequently Asked Questions

Generative AI for Content Creation refers to using AI tools to generate or enhance content such as images, videos, voiceovers, music, narration, and other creative assets from prompts and reference materials.

Generative AI can accelerate ideation and production by helping users create images, video concepts, voiceovers, music, and other content assets. It can also automate repetitive production workflows and generate multiple content variations.

Yes. The course is designed for content creators, marketing teams, designers, social media managers, and business professionals, with practical exercises focused on prompting, creative production, and workflow automation rather than traditional programming.

Yes. The course covers prompt-to-video, image-to-video, AI voiceover, narration, music, sound design, voice cloning, and multilingual dubbing. Participants also learn about the current limitations of AI-generated video and audio.

The course introduces platforms and tools including Figma Weave, Krea, OpenArt, AI image and video models, and dedicated audio tools. Examples covered include ChatGPT Images, Nano Banana, Imagen, Veo, Seedance, Kling, ElevenLabs, and Minimax.

AI-generated content may involve copyright, attribution, licensing, privacy, and confidentiality considerations. The course teaches participants how to identify these risks and apply responsible practices when creating content for commercial use.

Yes, the course can be offered as an HRDC claimable training programme, subject to applicable HRDC requirements, approval, and the employer's eligibility.

Yes. The course can be customized around an organization's content requirements, brand guidelines, target audiences, preferred AI tools, and real-world content production workflows.


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