Course Details
In the data driven world, Artificial Intelligence and Machine Learning is becoming the most in-demand career option. Artificial Intelligence and Machine Learning is the study of data. It involves developing methods
of recording, storing, and analyzing data to effectively extract useful information. The goal of
data science is to gain insights and knowledge from any type of data — both structured and
unstructured. It involves the use of tools/technologies for managing large amounts of data,
statistical techniques to analyze and interpret this data and understanding of domains such as
finance, marketing, and pharma which provides the context for such analysis.
Course Curriculum
- Basic of Excel
- Data Analysis in Excel
- Formula, Loops
- Google Sheets
- What is Statistics
- Types of Statistics
- Graph
Charts - Distribution
- Standard
- Deviation
- Variance
- Measure of Dispersion
- Sampling Probability Theorems
- Type of Probability
- Distribution
- Z score
- Hypotheses Testing
- Central Limit Thermos
- Types of Hypothesis Testing
- Types of errors in Hypotheses Testing
- Download and installation
- Introduction to R
- Basic to R
- Wring a code
- Operators
- Function
- Data Structure
- Data type
Visualization - Packages
- Conditional statements
- Loops
- Download and installation
- Introduction to Python
- Basic to Python
- Wring a code
- Operators
- Function
- Data Structure
- Data type
- Visualization
- Libraries
- Conditional statements
loops - File Handling
LOOPS
- Linear Regarrison
- Logistics Regarrison
- Clustering
- Decision tree
- Random Forest
- Time Series
- Support Vector Machine
- Ensemble Modelling
- PCA, LDA
- Bagging and boosting techniques
- Neural Network
- Deep Learning
- Tensor Flow
- Recommendation Engine (Recommender system)
- Advance Text Analytics and NLP
- Introduction to Chat Bot’s
- Introduction to Computer Vision
- Tableau
- Power BI
- Case Study
- Install My SQL Work Bench
- Introduction to SQL
- Basic command in SQL
- Advance SQL Coding
- SQL data base overview
- SQL with Python
- Introduction to Big Data Analytics
- Hadoop
- Spark
- Domain Analytics
- Marketing Analytics
- Retails Analytics
- Finance Analytics
- HR Analytics
- Health Care Analytics
- Sports Analytics
- Recommendation Engine
- Chat Bot
- Marketing Analytics
- Retails Analytics
- Finance Analytics
- HR Analytics
- Health Care Analytics
- Sports Analytics
Course Criteria
- Eligibility: 12+/Graduate
- Total Duration: 260 Hours
- Job Assurance: 100% Job Assurance
- Certified By: ICA EDU Skills, NSDC
Courses Highlights
- Microsoft Excel
- Statistics
- R Language
- Python
- Machine Learning
- Advance AI & ML 1
- Advance AI & ML 2
- Data Visulation
- SQL ( Database Management System )
- Big Data
- Domain Analytics
- Live Project ( Any 2)
Alumni Speaks
5 Lakh+ Alumni in 21+ years, Secure Your Future Now
Babita Kanaujiya
Course: CIA+Exemption
Placed: Omnicom Media Group | CTC: 5 LPA
Jyoti Gaikwad
Course: CIA Exemption
Placed: Myung Sung India | CTC: 6.19 LPA
Soham Mukherjee
Course: CIA
Placed: Genpact | CTC: 5 LPA
Surbhi Singh
Course: CIA
Placed: Ador Welding | CTC: 4 LPA
Khandokar Khalid Rahman
Course: CIA
Placed: Jumbo Shop | CTC: 6 LPA
Frequently Asked Questions
- Have completed their graduation from any domain.
- ICA has placements in more than 30 cities spanning across India. We will try to place the candidates nearest to their hometown. However, if there are no vacancies during that certain period, we shall provide placement opportunities in other cities.
- Students must be able to clear all the assessments post completion of every such module with an examination at the end.
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