Â
Did you know that the global data analytics market, worth $41.05 billion in 2022, is expected to grow to $279.31 billion by 2030 with a stunning 27.3% annual growth? This massive expansion means more opportunities for skilled data scientists, as top companies like Facebook, Instagram, and Twitter (X) rely on experts to analyze and interpret vast amounts of data.
Â
If you aspire to be one of these in-demand professionals, Internshala’s data science course with placement is the perfect choice. This comprehensive course not only equips you with essential data science skills but also offers placement assistance and certification to prepare you for a promising career.
Â
Unlock Your Data Science Career with Internshala’s All-in-One Training Program
Â
Ready to kick-start your data science career and land your dream job? Internshala’s comprehensive training program offers everything you need to succeed in this high-demand field. Here's why this course is perfect for you:
- No Prior Experience Needed: Whether you're a beginner or looking to switch careers, this course is designed for all skill levels.
- Recognized Certifications: Earn government-approved and industry-recognized certificates to add credibility to your resume.
- Career Guidance & Opportunities: Get support with internships and job placements, tailored to your career goals.
- Real-World Projects: Gain practical experience by working on industry-level projects that boost your confidence and skills.
- High Salary Potential: With the right expertise, you can earn a competitive salary ranging from ₹12.7 LPA to ₹25 LPA.
- Dual Certification: Receive an Internshala training certificate along with a National Skill Development Corporation (NSDC) & Skill India certification.
Â
Â
Syllabus Overview
Â
The data science course with placement offers a comprehensive curriculum designed to build a strong foundation in data analytics and advanced technologies. This course covers essential tools and techniques, including Excel, Power BI, SQL, Python, machine learning, natural language processing (NLP), and deep learning.
Â
The curriculum is structured to provide a blend of theoretical knowledge and practical experience, preparing you for real-world challenges in the data science field. Each module is carefully designed to enhance your analytical skills and technical expertise, ensuring you become a competent data science professional.
Â
Here’s an overview of the Data Science course syllabus:
Â
1. Introduction to Data Analytics
Â
- The course will begin with an introduction to analytics. You will start by gaining a basic understanding of data analytics.
- Next, you will learn about dealing with data in different phases using industry standards tools like CRISP-DM and various analytical tools.Â
- The first section will conclude with an interesting project wherein you will leverage J.P. Morgan’s Data Analytical Framework to classify legal documents.Â
Â
2. Data Management and Analysis with MS Excel
Â
- After successful completion of the first section, this data science online course with placement assistance will help you learn the basics of Excel.Â
- You will also learn how to navigate the tool, tips and tricks, functions and formulas, and different techniques to summarize and analyze data. This includes pivot tables, charts, conditional formatting, data validation, tables, and power tools.Â
- Lastly, you will get to explore automation with Excel using Macro and VBA. The section will end with a professional project where you will conduct data analysis of data from KPMG using Excel.
Â
3. Data Visualization with Power BI
Â
- The third part of the course focuses on data visualization with Power BI. The section begins by giving a basic understanding of Power BI’s interface and Query Editor.Â
- Next, the course will discuss how to prepare, model, manipulate, and visualize data. Additionally, you will get to dive deeper into the topic by learning about advanced data transformation and visualization.
- This section will also help you understand the basics of Dax and how to use Chatgpt in Dax.Â
- Once you are comfortable with these diverse topics, you will get to explore Power BI Service, learn how to connect the data sources to the Cloud, and the fundamentals of data security on the Cloud.Â
- Finally, you will get to practice the learnings of this section by working on an exciting project about airline performance analysis using Power BI.
Â
4. SQL for Data Analysis and Insights
Â
- The fourth section of the data science placement program teaches the fundamentals of databases and SQL. It will help you understand basic, intermediate, and advanced SQL concepts. You will learn the important rules to start coding, how to select, and filter the right data, and how to retrieve data in the right sequence.
- After learning the basics, the intermediate section of SQL will help you learn how to manipulate data with coding and connecting it to multiple files.Â
- Lastly, advanced SQL topics will include reusing SQL code, labeling data, and generating detailed results.Â
- This section will conclude with a project exploring how to optimize retail insights. You will conduct a comprehensive data analysis of Walmart using SQL to get a hands-on experience of all your learnings.Â
Â
5. Python Data Preparation & Analysis
Â
- In the fifth part of this course, you will learn the basics of Python. The section will familiarize you with flow control, data structures, functions, objects and errors, Python libraries, etc.Â
- You will also be introduced to statistics including basic terminology, types of data, measures of centralized values, inferential statistics, and hypothesis testing.Â
- For this section, you will get the opportunity to work on a project where you will get to analyze electric vehicles' market size using Python.
Â
6. Data-Driven- Machine Learning
Â
- Section six of the data science online course with placement explores machine learning and its uses. You will learn about supervised machine learning with regression and classification models and unsupervised learning with clustering.Â
- This section concludes with a hands-on project wherein you will build data-driven solutions for Airbnb and telecom industries. You will learn how to predict the price of Airbnb listings using regression techniques. The second part of the project will help you learn customer churn prediction.
Â
7. NLP Essentials: Applications to Real-World Problems
Â
- The seventh section of this course teaches the basic and advanced concepts of natural language processing. You will learn text basics, text classification, and topic modeling.
- This section also covers an interesting project on text intelligence divided into two parts. In the first part of the project, you will get the opportunity to analyze and predict the sentiment of movie reviews from the IMDb dataset. In the second part, you will get hands-on experience on how to classify news articles into different categories.
Â
8. Deep Learning Mastery: Data-Intensive
Â
- The last part of the course will help you understand the basics of deep learning from neural networks to CNN and RNN.Â
Â
Get Placement-Ready with Live Placement Bootcamps!
Â
The course comes with a live placement boot camp for all its students. You will participate in 6 unique activities to get placement-ready. These activities include:
- Full course revision with doubt-solving sessions
- Bonus study material
- Data science interview simulation
- 10 live case studies
- 50+ guesstimates
- 50+ practice questions, & more!
Why Should You Enroll in Internshala’s Data Science Course with Placement?
Â
Internshala’s data science course with placement is designed to help you develop the necessary skills required for a successful career in the data science field. Here's why this course is a great choice for you:
Â
- Comprehensive Curriculum: Master the basics of data science, including data analytics, SQL, and Python, while also gaining hands-on experience with tools like Power BI and natural language processing.
- Industry-Relevant Expertise: Stay ahead of industry trends by learning advanced concepts in machine learning, natural language processing, and AI tools like ChatGPT.
- Expert Guidance: Receive mentorship from experienced professionals who will offer valuable insights and support throughout your learning journey.
- Flexible Learning: Take advantage of 100% online classes that allow you to study at your own pace, fitting learning around your schedule.
- Diverse Job Opportunities: With a solid understanding of data science and analytics, you’ll be well-equipped for exciting job prospects in this fast-growing industry.
Â