This comprehensive data science training program is designed under expert supervision to equip you with all the necessary skills to become a certified data scientist. This data science course is for beginners who want to learn the fundamentals of data analysis, programming languages like Python and R, statistics, machine learning, and more.
The course makes you job-ready with all the skills and expertise. Gear up yourself to become a well-rounded data science professional with the ICA data science training program.
Prerequisites
Anyone who wants to accelerate their career with data and complete the 12th grade can join the data science training program. Don’t worry, we will train you in the basics; no prior knowledge is required for enrollment.
Why The Data Science Training?
Almost every industry now needs data science professionals, looking to grab the upcoming opportunity in the data science industry. Then, this data science training program empowers you:
- Unlock the power of data: Learn the most in-demand skills of analyzing datasets, data patterns, and trends and converting them into actionable insights.
- Gain a competitive edge: In the competitive job market, the data science industry has approximately, 12827 jobs currently, and the numbers increase with time. This program sets you apart in the job market.
- Boost your career prospects: An opportunity to accelerate your career and become a valuable asset to any organization.
Why do Data Science Training from ICA Edu Skills?
NSDC Certified Training 100% Job Assistance Real-Life Projects Practical TrainingSkills Covered
| Data Validation | Data analysis and visualization |
| Programming languages (Python, R) | Statistical modeling and analysis |
| Machine learning algorithms | Data storytelling and communication |
Tools Covered
Who Should Enroll in the Data Science Training Program?
This data science training course is designed for candidates:
- Who is interested in solving problems based on data
- Their basic concepts of mathematics and statistics are clear, and they want to grow their career in this field.
- Looking to change career in the data science field.
- Who wants to upgrade their existing data analysis skills?
What You Will Master in the Certificate Course on Data Science
Our data science course for beginners equips you with the industry-required skill set through a well-structured curriculum:
- Microsoft Excel: Learn in-depth concepts of data analysis using Excel functions, formulas, loops, and pivot tables in this data science training program.
- Statistics: Become a master in Z-scores, distributions, hypothesis testing, the central limit theorem, and sampling probability theorems with our data science course for beginners.
- R Language: Excel your knowledge with R programming and explore data structures, data types, conditional statements, and loops.
- Python: Data science training guides you with the primary skills of Python, including writing code, creating functions, and using operators.
- Machine Learning: The program will train you in machine learning through algorithms like linear regression, logistic regression, clustering, and decision trees.
- Data Visualization: The data science training course helps you learn the skills of data visualization with tools like Power BI and Tableau.
- SQL: Learn the basics of SQL, explore relational databases, and master fundamental SQL commands for data manipulation and retrieval.
- Microsoft Excel
- Statistics
- SQL ( Database Management System )
- R Language
- Python
- Machine Learning
- Data Visualization
48 Hours
4 Lecture
Lecture 1 : Basics of Excel
Lecture 2 : Visualization in Excel
Lecture 3 : Data Analysis in Excel
Lecture 4 : Formula, Loops
12 Hours
16 Lecture
Lecture 1 : What is Statistics
Lecture 2 : Types of Statistics
Lecture 3 : Graph
Lecture 4 : Charts
Lecture 5 : Distribution
Lecture 6 : Standard Deviation
Lecture 7 : Variance
Lecture 8 : Measure of Dispersion
Lecture 9 : Sampling Probability Theorems
Lecture 10 : Type of Probability
Lecture 11 : Distribution
Lecture 12 : Z score
Lecture 13 : Hypotheses Testing
Lecture 14 : Central Limit Thermos
Lecture 15 : Type of Hypotheses Testing
Lecture 16 : Types of errors in Hypotheses testing
8 Hours
12 Lecture
Lecture 1 : Download and installation
Lecture 2 : Introduction to R
Lecture 3 : Basic to R
Lecture 4 : Writing a code
Lecture 5 : Operators
Lecture 6 : Function
Lecture 7 : Data Structure
Lecture 8 : Data type
Lecture 9 : Visualization
Lecture 10 : Packages
Lecture 11 : Conditional statements
Lecture 12 : Loops
12 Hours
13 Lecture
Lecture 1 : Download and installation
Lecture 2 : Introduction to Python
Lecture 3 : Basic to Python
Lecture 4 : Writing a code
Lecture 5 : Operators
Lecture 6 : Function
Lecture 7 : Data Structure
Lecture 8 : Data type
Lecture 9 : Visualizations
Lecture 10 : Libaries
Lecture 11 : Conditional statements
Lecture 12 : Loops
Lecture 13 : EDA
35 Hours
6 Lecture
Lecture 1 : Linear Regartion
Lecture 2 : Logistion
Lecture 3 : Regration
Lecture 4 : Clustring
Lecture 5 : Desition tree
Lecture 6 : Random Forest
20 Hours
2 Lecture
Lecture 1 : Tablue
Lecture 2 : Power BI
20 Hours
8 Lecture
Lecture 1 : Install My SQL Work
Lecture 2 : Bench
Lecture 3 : Introduction to SQL
Lecture 4 : Basic to SQL
Lecture 5 : Basic command in SQL
Lecture 6 : SQL data base
Lecture 7 : SQL references
Lecture 8 : Data base examples
372 Rating
- Enrolled 647 Enrolled
- Modules 7 Modules
- Duration 4 Months
- Call +91 8450006000
