Big Data & Analytics

To become a Data Analyst, you should start by learning the right skills and tools step by step.

What to Study:

1. Learn basic mathematics and statistics (average, percentage, probability)
2. Study Excel for data cleaning and simple analysis
3. Learn SQL to work with databases
4. Learn Python or R for data analysis
5. Understand data visualization tools like Power BI or Tableau
6. Join a structured course or training institute like Datamites for guided learning and projects

Opportunities and Salary Prospects:

• Data Analysts are needed in IT, banking, healthcare, e-commerce, and startups
• Job roles include Junior Data Analyst, Business Analyst, and Reporting Analyst

1. Freshers can earn around ₹4–6 LPA in India
2. With experience (3–5 years), salary can go up to ₹10–15 LPA
3. Global demand is high, and certified professionals from platforms like Datamites get better job opportunities

Data Analytics is a growing field with good career growth, job security, and attractive salaries.

Which one should I study: Data Science or Data Analytics? - Datamites

What each field is

1. Data Analytics: focus on finding patterns, creating reports, dashboards, and helping business decisions using data. 
2. Data Science: deeper work including predicting future trends, machine learning, AI models and solving complex problems. 
   Digital India

Datamites offers courses in both, helping beginners learn tools like Excel, SQL, Python.

Skills needed

• Data Analytics: Excel, SQL, Power BI/Tableau, basics of stats. 
• Data Science: Python & R programming, machine learning, advanced statistics, big data. 

Job demand & growth

1. Many companies need Data Analysts because they turn data into clear business decisions. 
2. Data Science is still growing, especially where AI and machine learning are used. But roles now expect strong technical skills. 

Salary (India 2025-2026)

Data Analyst: ₹3–12 LPA depending on experience. 
Data Scientist: ₹5–20 LPA+ (higher with strong ML skills). 

Data Science tends to pay more on average, but it also requires more complex skills.

Which should you study?

Choose Data Analytics if:

1. You want faster entry into jobs
2. You like business insights, reporting, dashboards
3. You want to build skills step-by-step

Choose Data Science if:

• You enjoy coding, math, AI/ML
• You want higher salary potential
• You're ready for deeper technical challenges

A smart path is: start with Data Analytics and then move to Data Science as you learn more professionals grow this way.

Who Earns More, Data Scientist vs Data Analyst (2026) - Datamites

Data Scientists Usually Earn More

Around the world in 2025, data scientists generally get higher salaries than data analysts because their work is more advanced (machine learning, big data models, prediction systems). 

Typical Salary Ranges — Global (2025-2026)

1. Data Analyst: ~$55,000 – $95,000 per year
2. Data Scientist: ~$85,000 – $180,000 per year or more in top roles

Data scientists usually earn significantly more, especially with experience. 

Typical Salary Ranges — India (2025-2026)

• Data Analyst: ₹4 – ₹15 LPA (entry to senior roles)
• Data Scientist: ₹8 – ₹40 LPA+ (with mid and senior experience, sometimes higher at top companies)

Data scientists still earn more than data analysts in India. 

Why Data Scientists Get Higher Pay

1. They work with advanced skills like machine learning, AI models, big datasets
2. Decisions based on complex predictions often influence big business outcomes
3. This extra technical value usually leads to higher pay. 

How Datamites Helps Your Career

• Datamites offers training in Python, machine learning, AI, big data, and real projects
• This helps beginners move from data analyst skills toward data scientist skills
• Better skills often lead to higher salaries and more job opportunities.

What are the Best Data Analytics Courses - Datamites

Datamites offers updated Data Analytics courses in 2026 with Python, SQL, Tableau, Power BI, hands-on projects, and global certification.

1. DataMites now offers a 6‑month flagship “Certified Data Analyst” course that includes ~200+ hours of training, covering tools like Excel, SQL, Python, Tableau, Power BI along with data cleaning, EDA, visualization, and basic ML. 
   
   
2. Mode of delivery is flexible: you can choose online, offline (classroom) or hybrid — multiple centers exist across Indian cities including Bangalore (Marathahalli), Hyderabad (Madhapur), Chennai, Vizag, and more.
    
3. The curriculum includes hands‑on training: 10 capstone projects + 1 live client project — giving practical, real‑world experience besides theoretical knowledge. 
   
   
4. Certifications from DataMites are globally recognised via IABAC and NASSCOM FutureSkills — enhancing employability internationally. 
   
   
5. DataMites claims a large alumni base and strong industry ties: reportedly trained 120,000+ learners, and has partnerships with many hiring companies to support placement and career growth.