Module – 1 Introduction
View Details- Overview of data analytics - Usage areas of data analytics - Various structures of data - Tools & technologies required - Emerging job trends
Module – 2 Numpy & Pandas
View Details- Array data structure - Mathematical operations in array - Pandas dataframes - Row & column operations in dataframes - Aggregation & analytics
Module – 3 Visualisation
View Details- Matplotlib graph library - Various types of plots - Plotting a dataframe - Seaborn visuals - Heatmap, piecharts, barcharts in seaborn
Module – 4 Statistics
View Details- NOIR categorisation of data - Central tendencies - Varaibilities/dispersion - Skewness/kurtosis - Correlation in data
Module – 5 Exploratory Data Analytics (EDA)
View Details- Outlier removals - Missing data handling - Label encoding & one hot encoding - Undersampling data
Module – 6 Feature engineering
View Details- Variance & correlation analysis - Principal component analysis (PCA) - Linear discriminant analysis (LDA) - Factor analysis - Kernal PCA
Module – 7 Data Split techniques
View Details- Linear split - Random split - K fold split - Stratified K fold
Module – 8 ML modelling
View Details- Overview of ML - Linear/Logistic regression - Training & Inference - Performance evaluation
✓ Get experience with hands-on project
✓ Learn from experienced trainer
✓ ISO partnered certification helps you grow your career
✓ Be a part of community for lifetime
✓ Get prioritised to do internship and job with us and our partners
The best investment is your learning!
It was really a great experience of learning with cult skills. Completed the Curriculam as of industrial standards and the interactive sessions allowed me to grasp the topic to their depths. Got to explore lot of new things from this course that will help me in my future ventures with ML and Web Development.
I have completed deep learning course from cult skills. Very interactive sessions, experienced staff and quality classes delivered by good trainers. Curriculum was covered along with industrial experience.
Learn about SMM, SEO, PPC & other digital marketing vehicles with practical case studies and industrial strategies towards branding & marketing.
Understand & implement intelligent prediction systems work and analyse the data with the power of pattern recognition.
Learn and professionally manage software releases, version controls and deployment strategies with DevOps tools like Jenkins, GitLab etc...
Gokulaselvan Loganathan
The classes attended were very much informative. The classes which I attended was on Machine Learning using Python. I learnt a lot there about the algorithms and various topics of the Machine Learning. The practical classes were very much interesting. Needed a more practical classes for each topics, which will help to understand at the level of best.