Get expertise in data science from TechnoTykes.
Course Breakdown:
Statistics and Probability: Statistics and probability work as the bedrock of data science. We start with teaching you about statistics and probability. In this first step of the course you will be learning about descriptive statistics, probability distributions, hypothesis testing and many more things which will help you in building a strong foundation for becoming a data scientist.
Programming Language: Next, you will be made to learn about the programming language while keeping a primary focus on teaching Python by our expert tutors. Python is the most important language used by data scientists. Along with the Python language, you will be taught other libraries such as NumPy, Pandas, Matplotlib and, data structure etc.
Data Analysis and visualization: Data analysis and visualization techniques will help you in assembling the required data for deriving actionable insights. Data analysis is an important skill in data science. It includes data wrangling techniques, exploratory data analysis and data visualization etc.
Machine learning and algorithms: The next thing you will be taught about machine learning which is one of the main components of data science. You will explore various machine learning algorithms. At the end of this module you will be able to drive those algorithms which can help in making accurate predictions with the usage of the data.
Why choose TechnoTykes:
TechnoTykes, providing you with the best data science certification training courses in Ludhiana, are available with expert tutors of data science who have great depth knowledge regarding data science. They keep a practical approach to making students understand the topic. The main reasons why you should be choosing us for learning skills of being a data scientist are:
Expert Instructors: We are available with an expert team of instructors who have years of experience in data science.
Comprehensive Curriculum: We are available with a comprehensive curriculum in which we will be covering from standard to advanced level.
Hands on Projects: We will offer real world projects and assignments which will help you in gaining practical experience in data science.
Career support and guidance: If you are aiming to become a data scientist then you will be offered with proper support and guidance from the experts.
If you are also planning to grow in the field of data science and achieve good job opportunities in the field of data science. Then enroll today in the best data science certification training courses in Ludhiana from TechnoTykes.
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Career Options
Data Analyst
Business Intelligence (BI) Analyst
Data Visualization Specialist
Data Engineer (Entry-Level)
Reporting Analyst
Data Consultant
Analytics Associate
Module 1 – Python Programming Core – 48 Hrs
- Introduction to Python: Python’s role in data analysis
- Data Types and Variables: Integers, floats, strings, and booleans
- Operators and Expressions: Arithmetic, logical, comparison, and assignment
- Control Flow: If-else statements, for and while loops
- Data Structures: Strings, tuples, dictionaries
- File Handling Basics: Reading and writing text files
- Functions and Modules: Writing reusable code and using built-in modules
- Error Handling: Managing errors with try-except blocks
Module 2 – Python Advanced: Key Libraries – 24 Hrs
- NumPy: Array creation, mathematical operations, indexing, reshaping
- Pandas: DataFrames, Series, importing/exporting, data cleaning
- Matplotlib: Bar charts, scatter plots, histograms, line graphs etc.
- Working with CSV and TXT Files: Reading, writing, and modifying structured data
Module 3 – SQL (Structured Query Language) – 24 Hrs
- Database Basics: Relational database concepts
- SQL Queries: SELECT, WHERE, ORDER BY, GROUP BY
- Joins and Relationships: INNER JOIN, LEFT JOIN, RIGHT JOIN
- Data Manipulation: INSERT, UPDATE, DELETE
- Constraints: Primary Key, Foreign Key, Unique, Check
- Subqueries and Set Operations
- Window (Analytic) Functions
Module 4 – Basic & Advanced Excel – 18 Hrs
- Basic Excel
- Formulas and Functions: SUM, AVERAGE, IF, VLOOKUP, HLOOKUP
- Data Formatting: Conditional formatting, tables, sorting
- Basic Charts: Bar, line, and pie charts
- Advanced Excel
- Pivot Tables: Creating and customizing pivot tables
- Data Analysis ToolPak: Regression, correlation, statistical analysis
- Macros and VBA: Automating tasks with simple scripts
Module 5 – Power BI – 10 Hrs
- Introduction to Power BI: Dashboards and reports overview
- Connecting Data Sources: Excel, SQL, APIs
- Data Transformation: Using Power Query
- Building Visualizations: Bar charts, pie charts, maps
- DAX (Data Analysis Expressions): Calculated columns, measures
- Interactive Dashboards: Creating dynamic, user-driven reports
- Publishing and Sharing: Making your reports accessible
Module – Introduction to ML & Web Scraping (4 Hrs)
- Overview of Machine Learning & its applications (Supervised, Unsupervised, Reinforcement)
- Key Python ML libraries (scikit-learn, etc.)
- Basics of Web Scraping & Python tools (Requests, BeautifulSoup, Selenium)
- Data collection, cleaning, and exploration
- Types of Machine Learning Model
Capstone Project – 20 Hrs
Showcase Your Skills
- Database Connectivity: Build applications that connect to databases, execute queries, and retrieve data seamlessly.
- Data Analysis & Insights: Work with large datasets to uncover user behavior, sales trends, and product performance.
- Business Operations Management: Manage inventory, track sales, and forecast demand to support better decision-making.
- Institutional Management System: Design database schemas, implement queries, and generate reports for administrative tasks.
- Interactive Dashboards: Present analysis results through dynamic dashboards using Excel and Power BI.
- End-to-End Workflow: Demonstrate data collection, cleaning, analysis, visualization, and reporting within a single integrated project.
