Predesigned Program Advanced Analytics Interactive Dashboarding Business Machine Learning Data Science For All
bring your own data and witness the training outcomes
Why do you need to upskill?
Data is highly valuable digital asset than is only expected to grow over time. Enterprises are investing heavily in building strong data analytics teams to ensure sustainable growth, but finding appropriate talent to develop customized data-driven solution is a challenge. There is a significant talent gap, and training existing employees for new skills is advantageous for organizations, as they have domain expertise, making it easier to teach them new skills.
>> On right, statistics from World Economic Forum are shown [upskilling revolutions is inevitable!] <<
How can we help?
Our experts have developed globally accepted upskilling program tailored to industry needs, consisting of three modules.
- Advanced Analytics
- Interactive dashboarding
- Machine Learning
Skills gained through the program “Data Science For All” boosts productivity across the organization, from marketing and sales to engineering and executives.
Our philosophy for this training:
The offered program is well-accepted by our corporate clients. Our philosophy behind this program is “Bring Your Own Data” so that you and your leadership can see the impact of the program on day-to-day work.
Program details:
| Program/Training | Module | Key Skills | Technology | Duration [hours] |
|---|---|---|---|---|
| Data Science For All | Advanced Analytics | Data collection and preprocessing, exploratory data analysis, visualization, report writing, and presentation | Jupyter notebook, Python, numpy, pandas, matplotlib, seaborn | 24 |
| Dashboarding | Data analysis and interactive visualization, dashboarding | Plotly, dash, powerBI | 24 | |
| Machine Learning | Regression, classification, clustering, natural language processing, recommender systems, ensemble learning, Artificial neural networks. | Scitkit-learn, TensorFlow | 32 |