- Personalized 1 to 1 Interactive Program – 99 $ / Hour
- Classroom training - Online Interactive with the batch size of 15 to 20 People
Interactive Learning Environment
Flexibility and Convenience
Support and Guidance
IBM is recognized as a leader in the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms for 12 consecutive years.
Module 1 : Data science professional – Level 1
1.1 Analyze discrete data and structured data using Excel
1.2 Apply descriptive and inferential statistical tools and techniques
1.3 Summarize and represent data visually using graphs, charts, and pivot tables
1.4 Write Python programs to do data analysis using Python libraries such as Pandas, NumPy
Module 2 : Data science professional – Level 2
2.1 Source, validate, clean, store and query data and perform data analysis
2.2 Create data dashboards & visualizations using Tableau
2.3 Slice and dice data to generate hypotheses
2.4 Use statistical tools to validate a hypothesis
2.5 Create data and ML models for business forecasting and predictive analytics
2.6 Apply story-telling techniques using data to engage with stakeholders and help in data-based business decision-making
Module 3 : Data science professional – Level 3
3.1 Modelling data using machine learning tools and techniques
3.2 Analyse unstructured textual data
3.3 Construct, define and validate the ML models for supported / automated decision making
3.4 Use NLP to do analysis on textual data
3.5 Complete a project including ML modelling: Business understanding - Data preparation - Data Analysis - Prepare ML model - Deploy ML Model - Demo & Present Insights
Module 4 : Machine learning
4.1 Learning Introduction
4.2 Supervised Machine Learning
4.3 Unsupervised Machine Learning
4.4 Train Test Split
4.5 Regression Analysis
4.6 Linear Regression
4.7 Logistic Regression
4.10 Decision Tree
4.11 Random Forest
4.12 K Means Clustering
4.13 GridSearch CV
Q : When does the workshop start and what are the timings?
A : You can get all the details related to the timings and dates of the workshop at the top of the page , by clicking View Schedule
Q : Will this be live or pre-recorded?
A : It's going to be a completely live interactive session with options to clarify any doubts or questions that you may have , However just to support your continued learning , we also grant access to the recorded video lectures in our LMS portal.
Q : I made the payment but didn't receive any confirmation email.
A : Write to email@example.com and our awesome support team will solve your queries in the fastest time possible.
Q : Since the workshop is live, will you be sharing recordings?
A : Yes , we will be sharing recordings. Since it's a live workshop, it's expected that each participant will attend the workshop live. Also, recordings of a live session are just boring.
Q : Can I get a refund?
A : No. We don't provide refunds in any case. If you are not sure about the workshop, check out the testimonials, read more about the trainer and take an informed decision. In case you miss out on attending the live workshop, we can move you to the next batch only ONCE.
Q : When can I receive the bonuses?
A : After the workshop is done, you will receive all the bonuses within 48 hours.
Q : Will I get a certificate after completion?
A : Yes, you will receive a certificate of completion if you finish the entire workshop , This certificate carries the PMI logo and it is pre-approved by PMI for applying your PMP Exam.
Q : Can I take this course online?
A : Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want. This course is available in class and live online.
Q : I’m a project manager. How can I benefit from this class?
A : This course can help both new and experienced project managers use Microsoft PowerBi to successfully implement project management best practices, including developing business critical dashboards for executives, management and working group to understand the logic and sense behind the data.