NOTE: Our training sessions are conducted on a 1-2-1 basis (batches are not formed) as our workshops are tailor-made to your specific problem statement.

About the workshop:

As we pace into the era of Artificial Intelligence, Data Science is bound to become one of the most essential skills and getting to learn the industry applications of big data directly from an Industry Expert is no less than a Golden Opportunity.

Attending this workshop will make you familiar with data science and machine learning concepts and their practical applicability across various industries from scratch. This is a month-long course designed to give the maximum detailed exposure possible to all data science enthusiasts who wish to hone their skills under the direct guidance of Industry Experts. The training module has been fastidiously structured with an aim to aid all your concerns related to this ever-growing domain of Data Science.

The course below can be further channelized to a specific industry as per the requirement of the client.

Total Duration of Training: One Month

Topics Covered:

• Python Programming- Python Basics, Indentation, Case Sensitive
• Data Types- Integer, Float, String, Boolean, List, Tuple, Dictionary, Set, Series(Pandas), DataFrame(Pandas), Array(Numpy)
• Functions and Classes- Classes, Function, Lambda, Map, Filter, Reduce, Zip
• Errors and Exception Handling- Errors, System Defined Exception, User-Defined Exception
• Loops and Conditional- If-else, While, For, Continue, Break, Pass
• Advanced Python- List Comprehension, Dictionary Comprehension
• Packages- Numpy, Pandas, Matplotlib, Seaborn, Stats and Math, Sklearn
• Introduction to Machine Learning
• Types of Data- Supervised, Unsupervised, Reinforcement
• Basic Data Preparation- Data Cleaning, Handling Null Data
• Statistics- Measure of Central Tendency, Skewness, Kurtosis, Hypothesis Testing, Baye's Theorem, Markov's Chain, etc
• Applied Maths- PnC, Probability, Gaussian Distribution, Binomial Distributions, Poisson Distributions, Multivariate Gaussian Distributions
• Linear Algebra- Linear Equation, Polynomial Equation
• Time Series Models- ARIMA, Dickey-Fuller Test
• Regression- Linear, Univariate, Multivariate, Polynomial
• Clustering- K-means, Anamoly detection
• Ensemble Learning- Random Forest
• Advanced-Data Preparation- Data Cleaning, Normalization, Gradient Descent, Cost Function
• Reinforcement- Q-Learning, MDP, Bellman Equation
• Evaluation Metrics- Confusion Matrix, ROC-AUC Curve, R2 score, F-1 score, Mean Square Error
• Dimension Reduction- Dimension Reduction, PCA
• Optimization, Advanced Models and Framework- Neutral Network, Tensorflow

Disclaimers:

1) This will be an online training using screen-sharing.

2) This training module can also be customized to cover up your specific industry requirements.

3) This training can be taken up on a 1-2-1 basis as well as for a team

4) Upon confirmation, you will be connected to the trainer/course analyst for a technical call for a deep understanding of your training, and customization needs.

5) The date and timing for each session will be flexibly decided as per the mutual understanding between the attendees and the trainer and coordinated by our team.

Add-Ons Post Training:

1) Post-Training Support

2) Certification Advisory

3) Business Networking Support

4) Skill Validation Report signed by Industry Expert

Book our workshops on Insider to enjoy discounted prices!